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