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

2024-09-13 14:24:35 +08:00
parent a45ac6ab98
commit 08c486452f
14 changed files with 17 additions and 17 deletions
--- a/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py
+++ b/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py
@@ -131,7 +131,7 @@ class ElasticSearchVector(BaseVector):

        docs = []
        for doc, score in docs_and_scores:
-            score_threshold = kwargs.get("score_threshold", 0.0)
+            score_threshold = float(kwargs.get("score_threshold") or 0.0)
            if score > score_threshold:
                doc.metadata["score"] = score
            docs.append(doc)