brandenchan/haystack-pipelines-no-params · Datasets at Hugging Face

prompt stringlengths 31 149	pipeline stringlengths 473 1.03k
Make Haystack question generation pipeline	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Build faq system using elasticsearch retriever and OpenSearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>
Create question generation pipeline	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Build Haystack search summarization system consisting of TransformersSummarizer, ElasticsearchFilterOnlyRetriever and pinecone document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Create DocumentSearchPipeline using MultihopEmbeddingRetriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>
Create generative pipeline using Seq2SeqGenerator, tfidf retriever and faiss document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>
Build search summarization with TransformersSummarizer, TableTextRetriever and OpenDistroElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Create Haystack search summarization pipeline using TransformersSummarizer, TfidfRetriever and FAISSDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Create Haystack search summarization system with transformers summarizer, elasticsearch filter only retriever and PineconeDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Make Haystack document search pipeline using DensePassageRetriever and DeepsetCloudDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>
Generate extractive qa system consisting of rci reader, BM25Retriever and pinecone document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>
Create Haystack GenerativeQAPipeline with ra generator, TfidfRetriever and OpenSearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Make Haystack extractive qa with rci reader, tfidf retriever and OpenDistroElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "rci_reader" } ] } ] }<EOS>
Generate Haystack question answer generation system consisting of rci reader and QuestionGenerator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "rci_reader" } ] } ] }<EOS>
Create Haystack question generation system	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Build Haystack FAQPipeline consisting of FilterRetriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>
Generate generative pipeline with seq2 seq generator, tfidf retriever and deepset cloud document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>
Generate Haystack search summarization pipeline consisting of TransformersSummarizer, MultihopEmbeddingRetriever and OpenSearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Generate Haystack generative qa system using RAGenerator, embedding retriever and sql document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Build ExtractiveQAPipeline using TransformersReader, bm25 retriever and SQLDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>
Generate FAQPipeline using BM25Retriever and InMemoryDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>
Make Haystack SearchSummarizationPipeline with transformers summarizer, EmbeddingRetriever and weaviate document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Create extractive qa with rci reader, MultihopEmbeddingRetriever and open search document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "rci_reader" } ] } ] }<EOS>
Build generative pipeline with ra generator, bm25 retriever and ElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Generate qa pipeline with TransformersReader, elasticsearch retriever and sql document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>
Generate Haystack QuestionAnswerGenerationPipeline consisting of farm reader and QuestionGenerator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>
Build Haystack document search pipeline using tfidf retriever and sql document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>
Create document search system consisting of dense passage retriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>
Generate Haystack generative qa system with seq2 seq generator, tfidf retriever and InMemoryDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>
Make search summarization system with TransformersSummarizer, BM25Retriever and weaviate document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Generate question answer generation system using transformers reader and question generator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "transformers_reader" } ] } ] }<EOS>
Make Haystack QuestionGenerationPipeline	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Create qa system consisting of rci reader, ElasticsearchFilterOnlyRetriever and FAISSDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "rci_reader" } ] } ] }<EOS>
Generate ExtractiveQAPipeline using FARMReader, elasticsearch filter only retriever and sql document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "farm_reader" } ] } ] }<EOS>
Generate Haystack document search system using tfidf retriever and DeepsetCloudDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>
Generate Haystack document search system using elasticsearch retriever and open distro elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>
Build document search system consisting of tfidf retriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>
Build qa pipeline consisting of TransformersReader, BM25Retriever and SQLDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>
Create Haystack faq pipeline consisting of multihop embedding retriever and PineconeDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>
Generate document search system using DensePassageRetriever and OpenSearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>
Make generative qa system consisting of RAGenerator, TfidfRetriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Generate question generation pipeline	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Create extractive qa system with TableReader, table text retriever and sql document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "table_reader", "type": "TableReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "table_reader" } ] } ] }<EOS>
Make Haystack question generation system	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Create faq pipeline with multihop embedding retriever and DeepsetCloudDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>
Create generative qa system consisting of Seq2SeqGenerator, TableTextRetriever and faiss document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>
Build QuestionAnswerGenerationPipeline using farm reader and QuestionGenerator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>
Create Haystack search summarization system consisting of transformers summarizer, elasticsearch filter only retriever and open search document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Create document search pipeline using ElasticsearchFilterOnlyRetriever and PineconeDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ] } ] } ] }<EOS>
Generate Haystack SearchSummarizationPipeline using transformers summarizer, MultihopEmbeddingRetriever and in memory document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Generate question answer generation system using farm reader and QuestionGenerator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>
Make extractive qa system with TransformersReader, ElasticsearchFilterOnlyRetriever and weaviate document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>
Generate document search pipeline using FilterRetriever and OpenDistroElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>
Build Haystack question generation system	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Generate Haystack faq system using multihop embedding retriever and DeepsetCloudDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>
Make search summarization consisting of TransformersSummarizer, ElasticsearchFilterOnlyRetriever and in memory document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Build ExtractiveQAPipeline consisting of rci reader, BM25Retriever and FAISSDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>
Create faq system using tfidf retriever and WeaviateDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>
Create QuestionAnswerGenerationPipeline with farm reader and question generator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>
Create ExtractiveQAPipeline with TransformersReader, ElasticsearchFilterOnlyRetriever and weaviate document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>
Create FAQPipeline consisting of BM25Retriever and pinecone document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>
Build qa pipeline using RCIReader, bm25 retriever and ElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>
Create ExtractiveQAPipeline consisting of table reader, tfidf retriever and OpenSearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "table_reader", "type": "TableReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "table_reader" } ] } ] }<EOS>
Build Haystack document search pipeline with elasticsearch retriever and in memory document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>
Generate Haystack SearchSummarizationPipeline consisting of TransformersSummarizer, TableTextRetriever and OpenDistroElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Generate search summarization system using TransformersSummarizer, ElasticsearchFilterOnlyRetriever and deepset cloud document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Make FAQPipeline with bm25 retriever and PineconeDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>
Build Haystack extractive qa system using TableReader, tfidf retriever and open search document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "table_reader", "type": "TableReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "table_reader" } ] } ] }<EOS>
Generate Haystack qa system with farm reader, elasticsearch retriever and OpenDistroElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "farm_reader" } ] } ] }<EOS>
Build search summarization pipeline using TransformersSummarizer, ElasticsearchFilterOnlyRetriever and InMemoryDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Generate generative qa pipeline consisting of seq2 seq generator, TableTextRetriever and faiss document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>
Generate Haystack GenerativeQAPipeline using ra generator, table text retriever and WeaviateDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Build DocumentSearchPipeline with bm25 retriever and SQLDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>
Create faq search pipeline using filter retriever and DeepsetCloudDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>
Generate generative qa system using Seq2SeqGenerator, multihop embedding retriever and ElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>
Generate Haystack question answer generation system consisting of transformers reader and QuestionGenerator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "transformers_reader" } ] } ] }<EOS>
Build Haystack search summarization pipeline with transformers summarizer, dense passage retriever and sql document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Create document search pipeline consisting of filter retriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>
Create Haystack extractive qa pipeline with RCIReader, bm25 retriever and faiss document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>
Build Haystack QuestionGenerationPipeline	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Build qa pipeline consisting of FARMReader, elasticsearch filter only retriever and SQLDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "farm_reader" } ] } ] }<EOS>
Create search summarization system using TransformersSummarizer, ElasticsearchRetriever and OpenDistroElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Build search pipeline with embedding retriever and WeaviateDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ] } ] } ] }<EOS>
Create search summarization consisting of TransformersSummarizer, TfidfRetriever and FAISSDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Make Haystack document search pipeline using FilterRetriever and open search document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>
Create extractive qa pipeline consisting of TransformersReader, elasticsearch filter only retriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>
Make Haystack document search system with elasticsearch retriever and in memory document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>
Build Haystack generative qa pipeline with ra generator, EmbeddingRetriever and SQLDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Create Haystack generative qa system consisting of seq2 seq generator, TfidfRetriever and faiss document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>
Generate Haystack search pipeline with dense passage retriever and deepset cloud document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>
Build document search pipeline with tfidf retriever and deepset cloud document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>
Build search summarization pipeline consisting of TransformersSummarizer, multihop embedding retriever and OpenSearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Create document search system consisting of MultihopEmbeddingRetriever and ElasticsearchDocumentStore	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>
Build Haystack question answer generation pipeline using RCIReader and question generator	<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "rci_reader" } ] } ] }<EOS>
Create search summarization with TransformersSummarizer, EmbeddingRetriever and sql document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>
Generate Haystack generative qa pipeline with ra generator, TfidfRetriever and in memory document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Generate Haystack question generation system	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Create Haystack QuestionGenerationPipeline	<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>
Make GenerativeQAPipeline consisting of ra generator, FilterRetriever and elasticsearch document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ], "name": "ra_generator" } ] } ] }<EOS>
Generate Haystack generative qa consisting of RAGenerator, elasticsearch retriever and pinecone document store	<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Make Haystack question generation pipeline

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Build faq system using elasticsearch retriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>

Create question generation pipeline

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Build Haystack search summarization system consisting of TransformersSummarizer, ElasticsearchFilterOnlyRetriever and pinecone document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Create DocumentSearchPipeline using MultihopEmbeddingRetriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>

Create generative pipeline using Seq2SeqGenerator, tfidf retriever and faiss document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Build search summarization with TransformersSummarizer, TableTextRetriever and OpenDistroElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Create Haystack search summarization pipeline using TransformersSummarizer, TfidfRetriever and FAISSDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Create Haystack search summarization system with transformers summarizer, elasticsearch filter only retriever and PineconeDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Make Haystack document search pipeline using DensePassageRetriever and DeepsetCloudDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>

Generate extractive qa system consisting of rci reader, BM25Retriever and pinecone document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Create Haystack GenerativeQAPipeline with ra generator, TfidfRetriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Make Haystack extractive qa with rci reader, tfidf retriever and OpenDistroElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Generate Haystack question answer generation system consisting of rci reader and QuestionGenerator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "rci_reader" } ] } ] }<EOS>

Create Haystack question generation system

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Build Haystack FAQPipeline consisting of FilterRetriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>

Generate generative pipeline with seq2 seq generator, tfidf retriever and deepset cloud document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Generate Haystack search summarization pipeline consisting of TransformersSummarizer, MultihopEmbeddingRetriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Generate Haystack generative qa system using RAGenerator, embedding retriever and sql document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Build ExtractiveQAPipeline using TransformersReader, bm25 retriever and SQLDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>

Generate FAQPipeline using BM25Retriever and InMemoryDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>

Make Haystack SearchSummarizationPipeline with transformers summarizer, EmbeddingRetriever and weaviate document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Create extractive qa with rci reader, MultihopEmbeddingRetriever and open search document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Build generative pipeline with ra generator, bm25 retriever and ElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Generate qa pipeline with TransformersReader, elasticsearch retriever and sql document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>

Generate Haystack QuestionAnswerGenerationPipeline consisting of farm reader and QuestionGenerator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>

Build Haystack document search pipeline using tfidf retriever and sql document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>

Create document search system consisting of dense passage retriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>

Generate Haystack generative qa system with seq2 seq generator, tfidf retriever and InMemoryDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Make search summarization system with TransformersSummarizer, BM25Retriever and weaviate document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Generate question answer generation system using transformers reader and question generator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "transformers_reader" } ] } ] }<EOS>

Make Haystack QuestionGenerationPipeline

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Create qa system consisting of rci reader, ElasticsearchFilterOnlyRetriever and FAISSDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Generate ExtractiveQAPipeline using FARMReader, elasticsearch filter only retriever and sql document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "farm_reader" } ] } ] }<EOS>

Generate Haystack document search system using tfidf retriever and DeepsetCloudDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>

Generate Haystack document search system using elasticsearch retriever and open distro elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>

Build document search system consisting of tfidf retriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>

Build qa pipeline consisting of TransformersReader, BM25Retriever and SQLDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>

Create Haystack faq pipeline consisting of multihop embedding retriever and PineconeDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>

Generate document search system using DensePassageRetriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>

Make generative qa system consisting of RAGenerator, TfidfRetriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Generate question generation pipeline

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Create extractive qa system with TableReader, table text retriever and sql document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "table_reader", "type": "TableReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "table_reader" } ] } ] }<EOS>

Make Haystack question generation system

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Create faq pipeline with multihop embedding retriever and DeepsetCloudDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>

Create generative qa system consisting of Seq2SeqGenerator, TableTextRetriever and faiss document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Build QuestionAnswerGenerationPipeline using farm reader and QuestionGenerator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>

Create Haystack search summarization system consisting of transformers summarizer, elasticsearch filter only retriever and open search document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Create document search pipeline using ElasticsearchFilterOnlyRetriever and PineconeDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ] } ] } ] }<EOS>

Generate Haystack SearchSummarizationPipeline using transformers summarizer, MultihopEmbeddingRetriever and in memory document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Generate question answer generation system using farm reader and QuestionGenerator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>

Make extractive qa system with TransformersReader, ElasticsearchFilterOnlyRetriever and weaviate document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>

Generate document search pipeline using FilterRetriever and OpenDistroElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>

Build Haystack question generation system

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Generate Haystack faq system using multihop embedding retriever and DeepsetCloudDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>

Make search summarization consisting of TransformersSummarizer, ElasticsearchFilterOnlyRetriever and in memory document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Build ExtractiveQAPipeline consisting of rci reader, BM25Retriever and FAISSDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Create faq system using tfidf retriever and WeaviateDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>

Create QuestionAnswerGenerationPipeline with farm reader and question generator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "farm_reader" } ] } ] }<EOS>

Create ExtractiveQAPipeline with TransformersReader, ElasticsearchFilterOnlyRetriever and weaviate document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>

Create FAQPipeline consisting of BM25Retriever and pinecone document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>

Build qa pipeline using RCIReader, bm25 retriever and ElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Create ExtractiveQAPipeline consisting of table reader, tfidf retriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "table_reader", "type": "TableReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "table_reader" } ] } ] }<EOS>

Build Haystack document search pipeline with elasticsearch retriever and in memory document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>

Generate Haystack SearchSummarizationPipeline consisting of TransformersSummarizer, TableTextRetriever and OpenDistroElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Generate search summarization system using TransformersSummarizer, ElasticsearchFilterOnlyRetriever and deepset cloud document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Make FAQPipeline with bm25 retriever and PineconeDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>

Build Haystack extractive qa system using TableReader, tfidf retriever and open search document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "table_reader", "type": "TableReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "table_reader" } ] } ] }<EOS>

Generate Haystack qa system with farm reader, elasticsearch retriever and OpenDistroElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "farm_reader" } ] } ] }<EOS>

Build search summarization pipeline using TransformersSummarizer, ElasticsearchFilterOnlyRetriever and InMemoryDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Generate generative qa pipeline consisting of seq2 seq generator, TableTextRetriever and faiss document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Generate Haystack GenerativeQAPipeline using ra generator, table text retriever and WeaviateDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "table_text_retriever", "type": "TableTextRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Build DocumentSearchPipeline with bm25 retriever and SQLDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>

Create faq search pipeline using filter retriever and DeepsetCloudDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>

Generate generative qa system using Seq2SeqGenerator, multihop embedding retriever and ElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Generate Haystack question answer generation system consisting of transformers reader and QuestionGenerator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "transformers_reader" } ] } ] }<EOS>

Build Haystack search summarization pipeline with transformers summarizer, dense passage retriever and sql document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Create document search pipeline consisting of filter retriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>

Create Haystack extractive qa pipeline with RCIReader, bm25 retriever and faiss document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Build Haystack QuestionGenerationPipeline

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Build qa pipeline consisting of FARMReader, elasticsearch filter only retriever and SQLDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "farm_reader", "type": "FARMReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "farm_reader" } ] } ] }<EOS>

Create search summarization system using TransformersSummarizer, ElasticsearchRetriever and OpenDistroElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_distro_elasticsearch_document_store", "type": "OpenDistroElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Build search pipeline with embedding retriever and WeaviateDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ] } ] } ] }<EOS>

Create search summarization consisting of TransformersSummarizer, TfidfRetriever and FAISSDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Make Haystack document search pipeline using FilterRetriever and open search document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>

Create extractive qa pipeline consisting of TransformersReader, elasticsearch filter only retriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "elasticsearch_filter_only_retriever", "type": "ElasticsearchFilterOnlyRetriever", "params": {} }, { "name": "transformers_reader", "type": "TransformersReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ], "name": "transformers_reader" } ] } ] }<EOS>

Make Haystack document search system with elasticsearch retriever and in memory document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ] } ] } ] }<EOS>

Build Haystack generative qa pipeline with ra generator, EmbeddingRetriever and SQLDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Create Haystack generative qa system consisting of seq2 seq generator, TfidfRetriever and faiss document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Generate Haystack search pipeline with dense passage retriever and deepset cloud document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "dense_passage_retriever", "type": "DensePassageRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "dense_passage_retriever" }, { "inputs": [ "dense_passage_retriever" ] } ] } ] }<EOS>

Build document search pipeline with tfidf retriever and deepset cloud document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ] } ] } ] }<EOS>

Build search summarization pipeline consisting of TransformersSummarizer, multihop embedding retriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Create document search system consisting of MultihopEmbeddingRetriever and ElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "multihop_embedding_retriever" }, { "inputs": [ "multihop_embedding_retriever" ] } ] } ] }<EOS>

Build Haystack question answer generation pipeline using RCIReader and question generator

<SOS>{ "version": "1.6.0", "components": [ { "name": "question_generator", "type": "QuestionGenerator", "params": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_question_answering_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "question_generator" }, { "inputs": [ "question_generator" ], "name": "rci_reader" } ] } ] }<EOS>

Create search summarization with TransformersSummarizer, EmbeddingRetriever and sql document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "sql_document_store", "type": "SQLDocumentStore", "params": {} }, { "name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {} }, { "name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Generate Haystack generative qa pipeline with ra generator, TfidfRetriever and in memory document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Generate Haystack question generation system

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Create Haystack QuestionGenerationPipeline

<SOS>{ "version": "1.6.0", "components": [ { "name": "QuestionGenerator", "params": {}, "type": "QuestionGenerator" } ], "pipelines": [ { "name": "query", "nodes": [ { "inputs": [ "Query" ], "name": "QuestionGenerator" } ] } ] }<EOS>

Make GenerativeQAPipeline consisting of ra generator, FilterRetriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Generate Haystack generative qa consisting of RAGenerator, elasticsearch retriever and pinecone document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "elasticsearch_retriever", "type": "ElasticsearchRetriever", "params": {} }, { "name": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_retriever" }, { "inputs": [ "elasticsearch_retriever" ], "name": "ra_generator" } ] } ] }<EOS>