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haystack-pipelines-no-params

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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>