Making LLM Web Search Easy: A 5-Minute Guide

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Building an LLM that can search the web is surprisingly straightforward. This guide will show you how to do it in just five minutes.

Installation: Quick Setup

First, install the necessary Python packages:

%%capture
%pip install -qU langchain-groq
%pip install -qU langchain
%pip install -qU langchain-community
%pip install -qU duckduckgo-search

LLM Setup: Leveraging Groq’s Speed

We’ll use Groq for this example due to its speed. Here’s the setup code:

import os
from langchain_groq import ChatGroq

os.environ["GROQ_API_KEY"] = "API_KEY"

llm = ChatGroq(
    model="mixtral-8x7b-32768",
    temperature=0,
    max_tokens=None,
    timeout=None,
    max_retries=2,
)

This code initializes the ChatGroq LLM, setting parameters for model, temperature, and retries.

Tool Integration: DuckDuckGo Search

Next, we’ll integrate the DuckDuckGo search engine as a tool:

from langchain.agents import initialize_agent
from langchain_community.tools import Tool, DuckDuckGoSearchRun, DuckDuckGoSearchResults
from langchain.agents import Tool

ddg_search = DuckDuckGoSearchResults()

tools = [
   Tool(…