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

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