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Build Haystack search summarization pipeline consisting of TransformersSummarizer, elasticsearch filter only retriever and OpenSearchDocumentStore

<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 ExtractiveQAPipeline with 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>

Create Haystack question answer generation pipeline 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>

Make Haystack extractive qa system with RCIReader, ElasticsearchFilterOnlyRetriever 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>

Build Haystack QuestionAnswerGenerationPipeline consisting of 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>

Make Haystack faq pipeline consisting of 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": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "elasticsearch_filter_only_retriever" }, { "inputs": [ "elasticsearch_filter_only_retriever" ] } ] } ] }<EOS>

Generate generative qa with seq2 seq generator, TfidfRetriever 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 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 Haystack generative qa using 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>

Build Haystack GenerativeQAPipeline using ra generator, TfidfRetriever and OpenSearchDocumentStore

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

Generate generative qa pipeline consisting of 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 extractive qa with rci reader, FilterRetriever and ElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "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>

Make Haystack search pipeline consisting of 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>

Make Haystack faq 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>

Create search summarization system using TransformersSummarizer, dense passage retriever and sql document store

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

Create Haystack 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>

Make QuestionAnswerGenerationPipeline consisting of 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>

Build Haystack faq search pipeline 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>

Create Haystack generative qa pipeline with ra generator, filter retriever and ElasticsearchDocumentStore

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

Create Haystack search summarization system consisting of TransformersSummarizer, filter retriever and pinecone document store

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

Make Haystack faq pipeline using MultihopEmbeddingRetriever and pinecone document store

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

Create Haystack FAQPipeline with 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>

Create Haystack faq search pipeline with TfidfRetriever and WeaviateDocumentStore

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

Make document search system consisting of dense passage retriever and ElasticsearchDocumentStore

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

Create 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 generative qa with RAGenerator, 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": "ra_generator", "type": "RAGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "ra_generator" } ] } ] }<EOS>

Create 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 pipeline with 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": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ] } ] } ] }<EOS>

Make Haystack generative qa system consisting of Seq2SeqGenerator, EmbeddingRetriever 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>

Build extractive qa pipeline using RCIReader, tfidf retriever and OpenDistroElasticsearchDocumentStore

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

Generate Haystack faq system using EmbeddingRetriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "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 search pipeline consisting of BM25Retriever and ElasticsearchDocumentStore

<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 generative qa system with RAGenerator, MultihopEmbeddingRetriever 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>

Generate Haystack faq system consisting of table text retriever 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>

Make Haystack extractive qa pipeline with TransformersReader, ElasticsearchFilterOnlyRetriever 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>

Build Haystack search summarization pipeline using transformers summarizer, 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": "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>

Build Haystack FAQPipeline with elasticsearch retriever and sql document store

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

Make Haystack question answer generation system 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>

Generate Haystack QuestionGenerationPipeline

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

Generate Haystack generative pipeline consisting of Seq2SeqGenerator, multihop embedding retriever 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>

Create SearchSummarizationPipeline using transformers summarizer, embedding retriever and OpenSearchDocumentStore

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

Generate Haystack search pipeline consisting of tfidf retriever and DeepsetCloudDocumentStore

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

Create Haystack GenerativeQAPipeline with Seq2SeqGenerator, 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": "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>

Create Haystack question generation system

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

Create Haystack question answer generation system 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>

Make extractive qa system consisting of RCIReader, FilterRetriever and elasticsearch document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "params": {} }, { "name": "filter_retriever", "type": "FilterRetriever", "params": {} }, { "name": "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 generative qa using seq2 seq generator, bm25 retriever and PineconeDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Build document search system with dense passage retriever and open search document store

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

Build QuestionGenerationPipeline

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

Generate faq pipeline using table text retriever 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": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "table_text_retriever" }, { "inputs": [ "table_text_retriever" ] } ] } ] }<EOS>

Create Haystack question generation system

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

Generate Haystack question answer generation system with farm reader and QuestionGenerator

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

Build Haystack question answer generation pipeline 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 question answer generation system consisting of rci reader and QuestionGenerator

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

Create generative qa system with Seq2SeqGenerator, BM25Retriever and pinecone document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "pinecone_document_store", "type": "PineconeDocumentStore", "params": {} }, { "name": "bm25_retriever", "type": "BM25Retriever", "params": {} }, { "name": "seq2_seq_generator", "type": "Seq2SeqGenerator", "params": {} } ], "pipelines": [ { "name": "my_generator_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "seq2_seq_generator" } ] } ] }<EOS>

Generate Haystack search summarization system consisting of TransformersSummarizer, embedding retriever and OpenSearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "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 QuestionGenerationPipeline

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

Create SearchSummarizationPipeline with TransformersSummarizer, EmbeddingRetriever 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 question answer generation system 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>

Make Haystack faq system using tfidf retriever and SQLDocumentStore

<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 search summarization system using transformers summarizer, embedding retriever and open search document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "open_search_document_store", "type": "OpenSearchDocumentStore", "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 qa pipeline using RCIReader, 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>

Generate Haystack SearchSummarizationPipeline consisting of TransformersSummarizer, EmbeddingRetriever and DeepsetCloudDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "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 GenerativeQAPipeline 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>

Make Haystack question generation pipeline

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

Build faq system using filter retriever and DeepsetCloudDocumentStore

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

Make Haystack document search pipeline with 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 search summarization pipeline using TransformersSummarizer, MultihopEmbeddingRetriever and in memory document store

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

Generate SearchSummarizationPipeline consisting of transformers summarizer, BM25Retriever and weaviate document store

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

Generate Haystack search summarization system consisting of transformers summarizer, EmbeddingRetriever 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>

Make Haystack faq system with elasticsearch retriever and weaviate document store

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

Create Haystack ExtractiveQAPipeline consisting of rci reader, FilterRetriever and ElasticsearchDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "elasticsearch_document_store", "type": "ElasticsearchDocumentStore", "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 using table reader, 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>

Build FAQPipeline with TfidfRetriever and OpenDistroElasticsearchDocumentStore

<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 document search pipeline with 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": {} } ], "pipelines": [ { "name": "my_doc_search_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "filter_retriever" }, { "inputs": [ "filter_retriever" ] } ] } ] }<EOS>

Create Haystack qa pipeline consisting of rci reader, 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": {} }, { "name": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "tfidf_retriever" }, { "inputs": [ "tfidf_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Make Haystack document search system with DensePassageRetriever and ElasticsearchDocumentStore

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

Create question answer generation pipeline 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>

Make Haystack question answer generation system consisting of 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>

Build search pipeline 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>

Generate qa pipeline with rci reader, 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": "rci_reader", "type": "RCIReader", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "bm25_retriever" }, { "inputs": [ "bm25_retriever" ], "name": "rci_reader" } ] } ] }<EOS>

Make Haystack faq pipeline consisting of 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>

Generate Haystack generative qa pipeline using Seq2SeqGenerator, TfidfRetriever and in memory document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {} }, { "name": "tfidf_retriever", "type": "TfidfRetriever", "params": {} }, { "name": "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 DocumentSearchPipeline with 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 question generation system

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

Build Haystack SearchSummarizationPipeline with TransformersSummarizer, dense passage retriever and sql document store

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

Build DocumentSearchPipeline with tfidf retriever and deepset cloud document store

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

Create Haystack generative qa system using Seq2SeqGenerator, 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": "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>

Make question generation pipeline

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

Create QuestionAnswerGenerationPipeline 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>

Make Haystack SearchSummarizationPipeline consisting of transformers summarizer, 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": "transformers_summarizer", "type": "TransformersSummarizer", "params": {} } ], "pipelines": [ { "name": "my_query_pipeline", "nodes": [ { "inputs": [ "Query" ], "name": "embedding_retriever" }, { "inputs": [ "embedding_retriever" ], "name": "transformers_summarizer" } ] } ] }<EOS>

Generate search summarization system using transformers summarizer, elasticsearch filter only retriever and OpenSearchDocumentStore

<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 SearchSummarizationPipeline consisting of TransformersSummarizer, multihop embedding retriever and InMemoryDocumentStore

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

Build qa system using transformers reader, elasticsearch filter only retriever and ElasticsearchDocumentStore

<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>

Build Haystack generative qa system consisting of RAGenerator, multihop embedding retriever and SQLDocumentStore

<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>

Generate Haystack document search system with table text retriever and faiss document store

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "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 QuestionAnswerGenerationPipeline 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>

Make question answer generation system consisting of rci reader and QuestionGenerator

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

Create Haystack search pipeline with ElasticsearchFilterOnlyRetriever and FAISSDocumentStore

<SOS>{ "version": "1.6.0", "components": [ { "name": "faiss_document_store", "type": "FAISSDocumentStore", "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>