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