LangGraph AI Agent Tutorial | Build a Real-World Investment Memo Generator Step-by-Step

Description

💡 In this video, I’ll show you how to **build an AI Agent from scratch using LangGraph** — a cutting-edge framework for creating intelligent, multi-step agents. Our project? An **Investment Memo Generator**, capable of autonomously analyzing information and generating structured, professional investment reports — powered entirely by LLMs. 🚀 What You’ll Learn: - How LangGraph works and why it’s the future of agentic AI systems - Step-by-step guide to building your own AI Agent from zero - Designing agent workflows and decision nodes in LangGraph - Connecting LLMs to automate reasoning and report generation - Real-world application: Investment Memo Generator in action 💻 Technologies Used: - **LangGraph** - **Python** - **LLMs (OpenAI / local models)** - **Prompt Engineering** - **Graph-based AI logic** 📘 What is LangGraph? LangGraph is an open-source framework that extends LangChain — enabling **stateful, graph-based AI agents** with memory, reasoning, and tool orchestration. In this tutorial, you’ll not only learn how to use LangGraph but also understand how to **design autonomous AI systems** that think, act, and remember. ⚙️ Project Demo: Watch till the end as we build a fully functional **Investment Memo Generator** — a project that merges NLP, AI reasoning, and automation into one clean workflow. 🎯 Perfect For: - AI/ML enthusiasts - Developers learning LangGraph and LangChain - Anyone curious about AI agents, LLM workflows, or automation 📚 Keywords: LangGraph tutorial, AI agent from scratch, build AI agent, LangChain projects, LLM workflow automation, autonomous AI, investment memo generator, AI in finance, NLP, transfer learning, cloud AI. --- 🔥 Don’t forget to **like**, **subscribe**, and **comment** what AI project you want next! #LangGraph #AI #AIAgent #LangChain #LLM #MachineLearning #NLP #InvestmentAI #ArtificialIntelligence