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