Add rag_tools.py
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"""
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Tools for the RAG agent.
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"""
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from typing import List
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from langchain.tools import tool
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from qdrant_store import search, add_document
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@tool("search_knowledge_base")
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async def search_knowledge_base(query: str, max_results: int = 5) -> List[str]:
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"""Perform semantic search in the knowledge base.
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Parameters
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----------
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query: str
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Search query.
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max_results: int
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Number of results to return.
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Returns
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-------
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List[str]
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List of retrieved document snippets.
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"""
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docs = search(query, max_results)
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return [doc.page_content for doc in docs]
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@tool("add_to_knowledge_base")
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async def add_to_knowledge_base(content: str, title: str) -> str:
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"""Add a new document to the knowledge base.
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Parameters
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----------
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content: str
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Full text of the document.
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title: str
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Title or identifier for the document.
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Returns
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-------
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str
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Confirmation message.
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"""
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add_document(content, title)
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return f"Document '{title}' added successfully."
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__all__ = ["search_knowledge_base", "add_to_knowledge_base"]
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