diff --git a/tools.py b/tools.py
new file mode 100644
index 0000000..1cf7cb6
--- /dev/null
+++ b/tools.py
@@ -0,0 +1,80 @@
+import os
+from langchain_community.tools.tavily import TavilySearchResults
+from langchain_core.tools import tool
+from vectorstore import create_vectorstore
+
+
+# Global vectorstore instance
+_vectorstore = None
+
+
+def get_vectorstore():
+    """Get or create the global vectorstore instance."""
+    global _vectorstore
+    if _vectorstore is None:
+        _vectorstore = create_vectorstore()
+    return _vectorstore
+
+
+@tool
+def search_local_kb(query: str, top_k: int = 5) -> str:
+    """Search for relevant information in the local knowledge base (ChromaDB).
+    
+    Use this tool for questions about local documents, notes, or stored knowledge.
+    
+    Args:
+        query: The search query
+        top_k: Number of top results to return (default: 5)
+    
+    Returns:
+        Search results from the local knowledge base
+    """
+    vectorstore = get_vectorstore()
+    retriever = vectorstore.as_retriever(search_kwargs={"k": top_k})
+    docs = retriever.invoke(query)
+    
+    if not docs:
+        return "No relevant information found in local knowledge base."
+    
+    results = []
+    for i, doc in enumerate(docs, 1):
+        source = doc.metadata.get("source", "unknown")
+        results.append(f"[Document {i}] {doc.page_content}\n(Source: {source})")
+    
+    return "\n\n".join(results)
+
+
+@tool
+def web_search(query: str) -> str:
+    """Search the web for current information using Tavily.
+    
+    Use this tool for questions about current events, recent news, or facts 
+    that may not be in the local knowledge base.
+    
+    Args:
+        query: The search query
+    
+    Returns:
+        Web search results
+    """
+    tavily_api_key = os.getenv("TAVILY_API_KEY")
+    if not tavily_api_key:
+        return "Error: TAVILY_API_KEY not set in environment"
+    
+    search = TavilySearchResults(
+        max_results=5,
+        api_key=tavily_api_key
+    )
+    results = search.invoke(query)
+    
+    if not results:
+        return "No web search results found."
+    
+    formatted_results = []
+    for i, result in enumerate(results, 1):
+        title = result.get("title", "No title")
+        content = result.get("content", "No content")
+        url = result.get("url", "No URL")
+        formatted_results.append(f"[Result {i}] {title}\n{content}\nURL: {url}")
+    
+    return "\n\n".join(formatted_results)
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