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Fix the vector retrieval sorting issue (#6431)

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Co-authored-by: weifj <“weifj@tuyuansu.com.cn”>
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leoterry 2024-07-18 19:25:41 +08:00 • committed by GitHub
commit dc847ba145
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3 changed files with 6 additions and 2 deletions
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3
api/core/rag/datasource/vdb/chroma/chroma_vector.py
View file

@ -111,7 +111,8 @@ class ChromaVector(BaseVector):
metadata=metadata, metadata=metadata,
) )
docs.append(doc) docs.append(doc)
# Sort the documents by score in descending order
docs = sorted(docs, key=lambda x: x.metadata['score'], reverse=True)
return docs return docs
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:

2
api/core/rag/datasource/vdb/qdrant/qdrant_vector.py
View file

@ -362,6 +362,8 @@ class QdrantVector(BaseVector):
metadata=metadata, metadata=metadata,
) )
docs.append(doc) docs.append(doc)
# Sort the documents by score in descending order
docs = sorted(docs, key=lambda x: x.metadata['score'], reverse=True)
return docs return docs
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:

3
api/core/rag/datasource/vdb/weaviate/weaviate_vector.py
View file

@ -216,7 +216,8 @@ class WeaviateVector(BaseVector):
if score > score_threshold: if score > score_threshold:
doc.metadata['score'] = score doc.metadata['score'] = score
docs.append(doc) docs.append(doc)
# Sort the documents by score in descending order
docs = sorted(docs, key=lambda x: x.metadata['score'], reverse=True)
return docs return docs
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: