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