L-12 LangChain Agents and Tools | Step by Step Implementation

In this video, we will learn how to build intelligent agents by combining tools and LLMs in LangChain. We start with the theory, explaining the core concepts of LangChain agents and tools, including how they work together to extend the capabilities of LLMs. 📥 Download the complete source code: 🔗 GitHub: https://github.com/codewithaarohi/Gen... 📧 For inquiries or collaborations: [email protected] Next, we move on to practical implementation, where we demonstrate step-by-step how to define and use multiple tools, like a search tool and a calculator, within a LangChain agent. Whether you're a beginner or an AI enthusiast, this video will provide you with a clear understanding of LangChain agents and their powerful integration with tools to solve real-world problems. By the end of this video, you'll be equipped to create your own LangChain agents and customize tools for your specific use cases. Don't forget to like, comment, and subscribe for more AI tutorials!