debug

app.py

@@ -131,8 +131,9 @@ async def generate_rag_response_api(
         # Encode the query using the custom embedding function
         query_embedding = embed_text(body.search_query)
 
+        collection_name = "my_embeddings"  # Use the collection name where the embeddings are stored   
         # Perform search using the precomputed embeddings
-        hits, error = searcher.search_documents("documents", query_embedding, user_id)
+        hits, error = searcher.search_documents(collection_name, query_embedding, user_id)
         
         if error:
             logging.error(f"Search documents error: {error}")