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