Скачать или смотреть 🔥 Complete LangGraph Tutorial in Tamil (Free & Open Source) | GenAI | LangChain | LangGraph| Agents

LangGraph for Beginners | GenAI, Agents & Workflows (Tamil)

Unlock the full potential of Generative AI, AI Agents, and LangGraph with this beginner-friendly yet in-depth Tamil video. Whether you're a student, developer, data scientist, or AI enthusiast, this series takes you from the basics of LangChain & LangGraph all the way to building real-world, production-ready agent systems.

Through step-by-step explanations, practical demos, and clear visuals, this videp helps you understand how modern AI systems work — including Agent workflows, Graph-based orchestration, Message Passing, Tool Calling, Memory, Multi-Agent Systems, RAG Agents, and more.

🎯 What You’ll Learn

The fundamentals of LangGraph and how graphs help orchestrate complex AI workflows.

How to build Agents using LangChain + LangGraph from scratch.

Real-time examples of tool calling, state management, callbacks, memory and conditional nodes.

How Search, Reasoning, RAG, Chat History, and Tool Use work behind the scenes.

How to connect multiple agents using React Agent, RAG Agent, Supervisor/Master Agent, and more.

Beginner-friendly implementations of Agent Studio, Prompting, and Pre-requisite concepts for building GenAI applications.


This video is structured to take you from zero to expert:

Introduction to LangGraph & Setup
Start with the basics — what LangGraph is, why it's used in modern GenAI systems, and essential prerequisites every beginner needs.

Core Concepts
Learn Nodes, Edges, State, Memory, Tool Calling, and Message Passing with hands-on examples.

Building Tools & Agents
Understand how LLMs trigger tools, call functions, and interact with external data and APIs.

RAG + Agents
Build Retrieval-Augmented Agents, connect vector stores, and design smart retrieval workflows.

Multi-Agent Patterns
Learn Supervisor (Manager) Agents, Conversation History Management, and Agent collaboration.

Advanced Graph Features
Conditional branching, tool selection, agent loops, and creating production-like agent pipelines.

End-to-End Real-World Examples
Full workflows such as the Tavily Search Agent, React Agent, and a fully integrated Graph-Based AI System in Tamil.

💡 Who Is This video For?

✔ Beginners exploring GenAI
✔ Developers building Agent workflows
✔ Data Scientists learning LangGraph
✔ Students preparing for AI projects
✔ Anyone curious about how modern AI systems like ChatGPT Agents work under the hood

🔥 Why This video Stands Out

All explanations in simple Tamil

Real-world examples using top industry tools

Covers basic → intermediate → advanced

Includes practical agent building & problem solving

Ideal for both learners and professionals

🚀 Start Learning AI Agents Today

This video will help you master LangGraph and build scalable, production-ready AI workflows. Begin your journey and take your GenAI skills to the next level!


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00:00 - LangGraph Intro
05:25 - Project Intro
11:42 - Simple Graph
26:50 - Core Components
37:10 - Tools
45:29 - Simple Agent
52:28 - Router Agent
58:17 - LangGraph Studio
01:10:30 - ReAct and CoT
01:21:14 - Conversation Memory
01:27:27 - Conversation Memory using External DB
01:25:32 - Tavily Web search Tool
01:46:30 - Tavily in LangGraph
01:53:34 - Full Integration