Удалить tools.py

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2026-05-28 13:32:57 +00:00
parent a1c305db61
commit 0cea962c33
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@@ -1,31 +0,0 @@
"""
Tools for the RAG agent.
search_knowledge_base and add_to_knowledge_base are implemented using VectorStore.
"""
from typing import List, Dict
from langchain.tools import tool
from vector_store import VectorStore
# Instantiate a global store
store = VectorStore()
@tool
def search_knowledge_base(query: str, max_results: int = 5) -> str:
"""Semantic search in the knowledge base."""
results = store.similarity_search(query, k=max_results)
if not results:
return "No relevant documents found."
out_lines = []
for i, r in enumerate(results, 1):
out_lines.append(f"{i}. {r['content'][:200]}... (source: {r['metadata'].get('title', 'unknown')})")
return "\n".join(out_lines)
@tool
def add_to_knowledge_base(content: str, title: str = "document") -> str:
"""Add a document to the knowledge base.
The content is split into chunks and stored with metadata.
"""
store.add_documents([content], [{"title": title}])
return f"Document '{title}' added to knowledge base."