From b4e152f7752979850bc8a566c20d94bffeba1904 Mon Sep 17 00:00:00 2001 From: wlleiiwang <1025164922@qq.com> Date: Wed, 23 Jul 2025 15:38:31 +0800 Subject: [PATCH] FEAT: Tencent Vector search supports backward compatibility with the previous score calculation approach. (#22820) Co-authored-by: wlleiiwang --- api/core/rag/datasource/vdb/tencent/tencent_vector.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/api/core/rag/datasource/vdb/tencent/tencent_vector.py b/api/core/rag/datasource/vdb/tencent/tencent_vector.py index 84746d23ea..23ed8a3344 100644 --- a/api/core/rag/datasource/vdb/tencent/tencent_vector.py +++ b/api/core/rag/datasource/vdb/tencent/tencent_vector.py @@ -284,7 +284,8 @@ class TencentVector(BaseVector): # Compatible with version 1.1.3 and below. meta = json.loads(meta) score = 1 - result.get("score", 0.0) - score = result.get("score", 0.0) + else: + score = result.get("score", 0.0) if score > score_threshold: meta["score"] = score doc = Document(page_content=result.get(self.field_text), metadata=meta)