Support modern Qdrant search API

backend/app/search.py

@@ -3,7 +3,7 @@ from typing import List, Dict, Any, Optional
 from pathlib import Path
 
 from .config import settings
-from .vector_store import get_client, _collection_name as VECTOR_COLLECTION
+from .vector_store import get_client, query_points
 from .embeddings import embed_text, get_embedding_size
 from .db import get_chunks_for_library, list_libraries
 
@@ -55,12 +55,7 @@ def search_docs(
                 search_filter = None
         
         # Perform vector search
-        results = client.search(
-            collection_name=VECTOR_COLLECTION,
-            query_vector=query_embedding,
-            limit=limit,
-            search_filter=search_filter
-        )
+        results = query_points(client, query_embedding, limit, search_filter)
         
         # Format and return results
         formatted_results = []