Learn how to enhance large language models with real-time web search capabilities using Tavily API and LangChain. The guide covers setting up Tavily, creating search-enabled AI agents, and implementing retrieval-augmented generation (RAG) to overcome LLMs' knowledge cutoff limitations. Includes practical Python code examples
Table of contents
What We’ll Cover:Why Add Web Search to an LLM?How Tavily WorksSetting Up TavilyCreating an LLM Agent with Tavily SearchHow Tavily Search WorksUsing Tavily Without LangChainImproving Search QualityBuilding a Search-Aware ChatbotReal-World ApplicationsWhy Tavily Is a Good FitConclusionSort: