Update agent.py

agent.py

@@ -134,11 +134,12 @@ vector_store = SupabaseVectorStore(
     query_name="match_documents"
 )
 
-# Create retriever with search parameters
+# Create retriever with proper search configuration
 retriever = vector_store.as_retriever(
     search_kwargs={
-        "k": 3,          # Number of results to return
-        "filter": {}     # Default filter
+        "k": 3,           # Number of results
+        "filter": {},     # Default filter
+        "score_threshold": 0.7  # Optional similarity threshold
     }
 )
 
@@ -146,7 +147,7 @@ retriever = vector_store.as_retriever(
 retriever_tool = create_retriever_tool(
     retriever=retriever,
     name="document_retriever",
-    description="Searches for similar documents in knowledge base",
+    description="Searches for similar documents using vector similarity",
 )