update full prompt

app.py

@@ -190,7 +190,7 @@ class FiftyOneAssistant:
         """Wrapper for GPU embedding function."""
         return get_embedding_gpu(text, config.embedding_model)
     
-    def hybrid_search(self, query_text: str, query_vector: List[float], limit: int = 5, text_boost: float = 0.3):
+    def hybrid_search(self, query_text: str, query_vector: List[float], limit: int = 2, text_boost: float = 0.3):
         """
         Hybrid search using only dense vectors + text filtering
         """
@@ -276,14 +276,20 @@ class FiftyOneAssistant:
         
         try:
             # Prepare the full prompt
-            full_prompt = f"""Based on your knowledge of FiftyOne and the following FiftyOne documentation, answer the user's question:
+            full_prompt = f"""Your task is to generate a helpful response to the user's query about using FiftyOne, and provide the appropriate function calls and class methods so that the user can understand how to use FiftyOne to achieve their goal. 
+            
+This is the user's query: {user_query}
+
+The following is some context about FiftyOne which you may find helful to answer this query:
+
+#######
 
-DOCUMENTATION:
 {context}
 
-USER QUESTION: {user_query}
+#######
 
-Provide a helpful answer using the DOCUMENTATION and your own knowledge of FiftyOne. Your code examples should be complete and fully self-contained."""
+You already have knowledge of FiftyOne, and also some additional context. Now, answer the following user query: {user_query}
+"""
             
             messages = [
                 {"role": "system", "content": config.system_prompt},