Update agent.py

agent.py

@@ -126,7 +126,7 @@ embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-b
 supabase: Client = create_client(
     os.environ.get("SUPABASE_URL"), 
     os.environ.get("SUPABASE_SERVICE_KEY"))
-# Initialize vector store without the 'columns' parameter
+# Initialize vector store with correct configuration
 vector_store = SupabaseVectorStore(
     client=supabase,
     embedding=embeddings,
@@ -137,8 +137,8 @@ vector_store = SupabaseVectorStore(
 # Create retriever with search parameters
 retriever = vector_store.as_retriever(
     search_kwargs={
-        "k": 3,
-        "filter": {}
+        "k": 3,          # Number of results to return
+        "filter": {}     # Default filter
     }
 )