LangGraph Advanced – Use LangGraph BigTool and Semantic Search to Manage Large Toolsets in AI Agents

Description

In this video, I explore how to make your AI agents smarter and cleaner using LangGraph Advanced – Use LangGraph BigTool and Semantic Search to Manage Large Toolsets in AI Agents. You’ll see how BigTool simplifies working with dozens of tools by grouping them intelligently and allowing semantic access instead of manually wiring everything together. We’ll talk about why this approach matters for large multi-tool or MCP-based setups, how semantic search improves the ReAct workflow, and what makes BigTool a real game-changer for building scalable, autonomous AI agents. If you’re learning how to build or extend AI systems with LangGraph, this one connects all the dots — from practical setup to real reasoning improvements. I get it—tech content takes time to research, code, and polish. If my videos have helped you save time, avoid headaches, or just made debugging less painful, a coffee would be highly appreciated! https://buymeacoffee.com/grabduck 00:00 – Intro and Setting Up MCP Tools 01:49 – Creating Tool Registry for Future BigTool Use 02:46 – Using Semantic Search and Long-Term Memory for Tool Retrieval 07:20 – Building ReAct Agent with LangGraph BigTool and Memory Integration 09:20 – Running the Agent and Testing Queries 11:02 – Limitations of BigTool and Why It’s Not Always Reliable 13:31 – Wrap-Up & Key Takeaways 🔗 Related Videos ▶️ LangGraph Intro – Using MCP Servers to Extend AI Agents with Dynamic Tooling in LangGraph https://youtu.be/T9t9kDXY92U?si=o0h3VyXGlr4i4VDZ ▶️ LangGraph Advanced – Dynamically Select Tools in AI Agents for Cleaner and Smarter Workflows https://www.youtube.com/watch?v=qGaRj3lUfps 🌟 Related Courses & Tutorials • LangGraph Introduction Series – Learn how to build AI agents with LangGraph in this step‑by‑step course. From basic graphs to memory, human‑in‑the‑loop (HITL), streaming, FastAPI, and React integration — this playlist covers everything you need to create autonomous AI agents and real‑world applications. https://www.youtube.com/playlist?list=PLaWfw53gNyzaZB3paLG0WmJPLSPj3idpS • LangSmith Introduction Series – Master AI app monitoring and debugging with LangSmith. This tutorial series covers tracing, run types, and step‑by‑step methods for understanding, testing, and improving LLM and LangChain applications. Perfect for developers learning how to monitor AI apps and build more reliable AI agents. https://www.youtube.com/playlist?list=PLaWfw53gNyzY2tEVkPJNCpmfPbRSPKXLw 💡 Explore More: Check out the GitHub repo with all the code we used in this session: https://github.com/esurovtsev/langgraph-advanced #aidevelopment #aiintegration #aiprogramming ============================= Hi, I’m Evgeny, a freelance software engineer passionate about solving complex problems with technologies like Java, Kotlin, Spring Boot, TypeScript, Python, and Node.js. On this channel, you’ll find content centered around AI, search technologies, and security, with in-depth coding sessions and theoretical discussions to enhance your knowledge. Join me as we explore the latest innovations in backend development and beyond. ============================= Just Meditate It is our own mindfulness & design brand. Operated by ECONOR s.r.o., Czech Republic. Legal Notice: Operated by ECONOR s.r.o., Czech Republic This channel and website are intended for an international English-speaking audience.