fix: Handle named vectors in visualization and semantic search

- viz_routes.py: Extract "dense" vector from named vector dict - semantic.py: Specify using="dense" for BM25 hybrid collections - Fixes "X must be 2D array" error in hybrid search - Fixes "Dense vector is not found" error in semantic search 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-16 08:16:35 +01:00
parent fc6a2f14e4
commit 944b6dcf5a
2 changed files with 15 additions and 3 deletions
@@ -101,6 +101,7 @@ class SemanticSearchAlgorithm(SearchAlgorithm):
            search_response = await qdrant_client.query_points(
                collection_name=settings.get_collection_name(),
                query=query_embedding,
+                using="dense",  # Use named dense vector (BM25 hybrid collections)
                query_filter=Filter(must=filter_conditions),
                limit=limit * 2,  # Get extra for deduplication
                score_threshold=score_threshold,