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