feat(evidence): use server-side Qdrant BM25 retrieval

2026-08-24 18:15:33 +02:00
parent 0e9add09a9
commit 29d41ac258
15 changed files with 253 additions and 34 deletions
@@ -112,7 +112,10 @@ def combined_search(

    if query_vec is None:
        query_vec = embedder.embed_query(keyword)
-    vector_hits = store.search(query_vec, top_n=top * 2, kinds=kinds)
+    search_kwargs = {"top_n": top * 2, "kinds": kinds}
+    if kinds is not None and "evidence" in kinds:
+        search_kwargs["query_text"] = keyword
+    vector_hits = store.search(query_vec, **search_kwargs)
    rankings["vector"] = [(_vector_key(h), h.similarity) for h in vector_hits]
    by_key = {_vector_key(h): h for h in vector_hits}