From fff832392b14c30ef66f2ec18a3cb85e30cacdd3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=A0=D0=B8=D0=BD=D0=B0=D1=80=20=D0=9C=D0=B8=D1=80=D0=B7?= =?UTF-8?q?=D0=B0=D0=B3=D0=B8=D1=82=D0=BE=D0=B2?= Date: Wed, 17 Jun 2026 13:10:38 +0000 Subject: [PATCH] =?UTF-8?q?=D0=9E=D0=B1=D0=BD=D0=BE=D0=B2=D0=BB=D0=B5?= =?UTF-8?q?=D0=BD=20vectorstore.py:=20remove=20tools.py?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- tools.py | 42 ------------------------------------------ 1 file changed, 42 deletions(-) delete mode 100644 tools.py diff --git a/tools.py b/tools.py deleted file mode 100644 index 7289501..0000000 --- a/tools.py +++ /dev/null @@ -1,42 +0,0 @@ -import os -from typing import Any - -from langchain.tools import tool -from langchain_tavily import TavilySearch - -from vectorstore import create_vectorstore - - -def _format_local_docs(results: list[Any]) -> str: - if not results: - return "Source: qdrant\nNo relevant local documents found." - - parts = ["Source: qdrant"] - for index, doc in enumerate(results, start=1): - source = doc.metadata.get("source", "unknown") - parts.append(f"{index}. ({source}) {doc.page_content}") - return "\n".join(parts) - - -@tool -def search_local_kb(query: str, top_k: int = 3) -> str: - """Search the local ChromaDB knowledge base for internal course notes and local documents.""" - vectorstore = create_vectorstore() - retriever = vectorstore.as_retriever(search_kwargs={"k": top_k}) - results = retriever.invoke(query) - return _format_local_docs(results) - - -@tool -def web_search(query: str) -> str: - """Search the web with Tavily for fresh facts, current news, or anything not covered by local documents.""" - api_key = os.getenv("TAVILY_API_KEY") - if not api_key: - return "Source: tavily\nTAVILY_API_KEY is not set, so web search is unavailable." - - search_tool = TavilySearch( - max_results=5, - topic="general", - ) - result = search_tool.invoke({"query": query}) - return f"Source: tavily\n{result}"