Fix the vector retrieval sorting issue (#6431)

Co-authored-by: weifj <“weifj@tuyuansu.com.cn”>

api/core/rag/datasource/vdb/chroma/chroma_vector.py

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

api/core/rag/datasource/vdb/qdrant/qdrant_vector.py

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

api/core/rag/datasource/vdb/weaviate/weaviate_vector.py

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