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