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