Update app.py

app.py

@@ -23,20 +23,17 @@ def embed_query(text):
 # Semantic search using FAISS (for older FAISS versions)
 
 # Semantic search with fallback handling
+
+# Semantic search using FAISS - strictly for older API with preallocated arrays
 def search(query, k=3):
     query_vec = embed_query(query).astype(np.float32)
 
-    try:
-        # Try modern FAISS API (common in recent versions)
-        distances, labels = index.search(query_vec, k)
-    except TypeError:
-        try:
-            # Try older FAISS API where distances and labels must be preallocated
-            distances = np.empty((1, k), dtype=np.float32)
-            labels = np.empty((1, k), dtype=np.int64)
-            index.search(query_vec, k, distances, labels)
-        except Exception as e:
-            raise RuntimeError(f"FAISS search failed: {e}")
+    # Preallocate arrays (required for FAISS IndexFlatL2 in older versions)
+    distances = np.empty((1, k), dtype=np.float32)
+    labels = np.empty((1, k), dtype=np.int64)
+
+    # Call FAISS with all required arguments
+    index.search(query_vec, k, distances, labels)
 
     return [chunks[i] for i in labels[0]]