fix: score_threshold handling in vector search methods (#8356)

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-LAN- 2024-09-13 14:24:35 +08:00 • committed by GitHub
commit 08c486452f
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14 changed files with 17 additions and 17 deletions

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@ -141,7 +141,7 @@ class MilvusVector(BaseVector):
for result in results[0]:
metadata = result["entity"].get(Field.METADATA_KEY.value)
metadata["score"] = result["distance"]
score_threshold = kwargs.get("score_threshold", 0.0)
score_threshold = float(kwargs.get("score_threshold") or 0.0)
if result["distance"] > score_threshold:
doc = Document(page_content=result["entity"].get(Field.CONTENT_KEY.value), metadata=metadata)
docs.append(doc)