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local_doc_qa.py

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yawudede 2023-05-22 10:36:41 +08:00 committed by GitHub
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chains/local_doc_qa.py
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@ -301,7 +301,9 @@ class LocalDocQA:
vector_store.score_threshold = self.score_threshold
related_docs_with_score = vector_store.similarity_search_with_score(query, k=self.top_k)
###########################################精排 之前faiss检索作为粗排 需要设置config参数
###########################################精排 之前faiss检索作为粗排 需要设置model_config参数VECTOR_SEARCH_TOP_K =300
###########################################原理：粗排：faiss+semantic search 检索得到大量相关文档，需要设置ECTOR_SEARCH_TOP为300，然后合并文档，重新切分，
#############################################利用knn+ semantic search 进行二次检索，输入到prompt
####提取文档
related_docs = get_docs_with_score(related_docs_with_score)
text_batch0=[]