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