28 lines
1019 B
Python
28 lines
1019 B
Python
import os
|
|
from langchain.tools import tool
|
|
from langchain_tavily import TavilySearchResults
|
|
from langchain_chroma import Chroma
|
|
|
|
@tool
|
|
def search_local_kb(query: str, top_k: int = 3) -> str:
|
|
"""Search the local knowledge base for relevant information."""
|
|
vectorstore = Chroma(
|
|
collection_name="knowledge",
|
|
persist_directory="./chroma_db",
|
|
)
|
|
docs = vectorstore.similarity_search(query, k=top_k)
|
|
if not docs:
|
|
return "No results found in local knowledge base."
|
|
return "\n".join(f\"{i+1}. {doc.page_content[:200]}...\" for i, doc in enumerate(docs))
|
|
|
|
@tool
|
|
def web_search(query: str) -> str:
|
|
"""Search the web for up-to-date information."""
|
|
tavily = TavilySearchResults(
|
|
api_key=os.getenv("TAVILY_API_KEY"),
|
|
max_results=3,
|
|
)
|
|
results = tavily.run(query)
|
|
if not results:
|
|
return "No results found on the web."
|
|
return "\n".join(f\"{i+1}. {res['title']}\\n{res['url']}\\n{res['content'][:200]}...\" for i, res in enumerate(results)) |