Building AI Agents with LangChain: A Developer's Delight

This article dives into the practical application of LangChain for creating AI Agents. It follows up on a previous project that built an AI Agent from scratch, making it a great comparison of frameworks versus custom implementations. The article shows how LangChain simplifies the process.

• •The article compares building an AI Agent with and without a framework like LangChain.
• •The focus is on how LangChain streamlines the "observe -> decide -> act" loop.
• •The project leverages Google's Gemini API for its Large Language Model (LLM) implementation.