Deploy Vivekananda scriptures semantic search Gradio app

app.py

@@ -175,8 +175,8 @@ def semantic_search(query: str, limit: int = 5, min_similarity: float = 0.5) ->
         # Encode query
         query_vector = model.encode(query).tolist()
         
-        # Search LanceDB table
-        results = table.search(query_vector).limit(limit).to_list()
+        # Search LanceDB table with Cosine Similarity
+        results = table.search(query_vector).metric("cosine").limit(limit).to_list()
         
         if not results:
             return "<div style='text-align: center; color: #ff6b6b; padding: 20px;'>No results found. Try adjusting your query.</div>"
@@ -191,9 +191,9 @@ def semantic_search(query: str, limit: int = 5, min_similarity: float = 0.5) ->
                 except Exception:
                     pass
                     
-            # Compute similarity from L2 distance
+            # Compute similarity from Cosine distance
             distance = res.get("_distance", 1.0)
-            similarity = max(0.0, 1.0 - (distance / 2.0))
+            similarity = max(0.0, 1.0 - distance)
             
             if similarity < min_similarity:
                 continue