feat(rag): Implement indexing and retrieval logic with AppController integration

src/ai_client.py

@@ -2245,9 +2245,20 @@ def send(
  enable_tools: bool = True,
  stream_callback: Optional[Callable[[str], None]] = None,
  patch_callback: Optional[Callable[[str, str], Optional[str]]] = None,
+ rag_engine: Optional[Any] = None,
 ) -> str:
  monitor = performance_monitor.get_monitor()
  if monitor.enabled: monitor.start_component("ai_client.send")
+
+ if rag_engine and getattr(rag_engine.config, "enabled", False):
+  chunks = rag_engine.search(user_message)
+  if chunks:
+   context_block = "## Retrieved Context\n\n"
+   for i, chunk in enumerate(chunks):
+    path = chunk.get("metadata", {}).get("path", "unknown")
+    context_block += f"### Chunk {i+1} (Source: {path})\n{chunk.get('document', '')}\n\n"
+   user_message = context_block + user_message
+
  _append_comms("OUT", "request", {"message": user_message, "system": _get_combined_system_prompt(_active_tool_preset, _active_bias_profile)})
  with _send_lock:
   if _provider == "gemini":