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FEAT: Tencent Vector search supports backward compatibility with the previous score calculation approach. (#22820)

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Co-authored-by: wlleiiwang <wlleiiwang@tencent.com>
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wlleiiwang 2025-07-23 15:38:31 +08:00 committed by GitHub
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commit b4e152f775
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api/core/rag/datasource/vdb/tencent/tencent_vector.py
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@ -284,7 +284,8 @@ class TencentVector(BaseVector):
# Compatible with version 1.1.3 and below. # Compatible with version 1.1.3 and below.
meta = json.loads(meta) meta = json.loads(meta)
score = 1 - result.get("score", 0.0) score = 1 - result.get("score", 0.0)
score = result.get("score", 0.0) else:
score = result.get("score", 0.0)
if score > score_threshold: if score > score_threshold:
meta["score"] = score meta["score"] = score
doc = Document(page_content=result.get(self.field_text), metadata=meta) doc = Document(page_content=result.get(self.field_text), metadata=meta)