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