Update rag_tools.py

rag_tools.py

@@ -1,35 +1 @@
-"""Tools for the RAG agent.
-
-Two tools are exposed via the ``@tool`` decorator:
-* ``search_knowledge_base`` – semantic search in the Qdrant vector store.
-* ``add_to_knowledge_base`` – add a document to the vector store.
-"""
-
-from typing import List, Dict
-
-from langchain.tools import tool
-
-from .vector_store import add_document, search_text
-
-# ---------------------------------------------------------------------------
-# Tool definitions
-# ---------------------------------------------------------------------------
-
-@tool("search_knowledge_base")
-async def search_knowledge_base(query: str, max_results: int = 5) -> List[str]:
-    """Return the top *max_results* relevant chunks for *query*.
-
-    The function is asynchronous because LangChain expects async tools when
-    the agent runs in an async context. The underlying vector store calls
-    are synchronous, so we simply wrap the result.
-    """
-    return search_text(query, k=max_results)
-
-@tool("add_to_knowledge_base")
-async def add_to_knowledge_base(content: str, title: str) -> str:
-    """Add *content* under *title* to the knowledge base.
-
-    Returns a confirmation string.
-    """
-    add_document(title, content)
-    return f"Document '{title}' added to knowledge base."
+# Deprecated module – kept for backward compatibility