Delete search_tools.py

search_tools.py

@@ -1,53 +0,0 @@
-from langchain_core.tools import tool
-from langchain_community.document_loaders import WikipediaLoader
-from langchain_community.document_loaders import ArxivLoader
-# Search engine specifically for LLMs
-# from langchain_community.tools.tavily_search import TavilySearchResults
-from langchain_tavily import TavilySearch
-
-
-@tool
-def web_search(query: str) -> str:
-    """Search Tavily for a query and return maximum 3 results.
-    
-    Args:
-        query: The search query."""
-    # print(f"Web search query:::::::::::: {query}")
-    search_docs = TavilySearch(max_results=3).invoke({"query":query})
-    formatted_search_docs = "\n\n---\n\n".join(
-        [
-            f'<Document source="{doc["url"]}" page="{doc["title"]}"/>\n{doc["content"]}\n</Document>'
-            for doc in search_docs['results']
-        ])
-    # print(f"Web search result:::::::::::: {formatted_search_docs}")
-    return {"web_results": formatted_search_docs}
-
-@tool
-def wiki_search(query: str) -> str:
-    """Search Wikipedia for a query and return maximum 2 results.
-    
-    Args:
-        query: The search query."""
-    
-    search_docs = WikipediaLoader(query=query, load_max_docs=2).load()
-    formatted_search_docs = "\n\n---\n\n".join(
-        [
-            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content}\n</Document>'
-            for doc in search_docs
-        ])
-    
-    return {"wiki_results": formatted_search_docs}
-
-@tool
-def arvix_search(query: str) -> str:
-    """Search Arxiv for a query and return maximum 3 result.
-    
-    Args:
-        query: The search query."""
-    search_docs = ArxivLoader(query=query, load_max_docs=3).load()
-    formatted_search_docs = "\n\n---\n\n".join(
-        [
-            f'<Document source="{doc.metadata["source"]}" page="{doc.metadata.get("page", "")}"/>\n{doc.page_content[:1000]}\n</Document>'
-            for doc in search_docs
-        ])
-    return {"arvix_results": formatted_search_docs}