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In this hands-on project tutorial, you will build a complete Multi-Agent AI Research System from scratch using LangChain and Large Language Models. This is a practical, project-first session where you go beyond single-prompt AI and learn how to orchestrate multiple specialized AI agents that work together as a pipeline searching the web, scraping content, writing reports, and reviewing them automatically. Whether you are an intermediate AI developer or someone looking to move from basic LangChain usage to real agentic systems, this project will show you exactly how production-style multi-agent workflows are designed and built. 👨🏫 Instructor – Akarsh Vyas walking you through every line of code, every design decision, and every agent interaction in a clear and practical way. 📂Code Files - https://github.com/AkarshVyas/Multi-agent-research-system What You Will Learn in This Video * What are AI Agents and how they differ from simple LLM chains * How to build a multi-agent pipeline with LangChain * Designing a Search Agent that retrieves live, reliable web data * Designing a Reader Agent that scrapes and extracts deep content from URLs * Using Writer Chains to generate structured, detailed research reports * Using Critic Chains to automatically review and score AI-generated output * How agents pass state to each other through a shared pipeline * Building a professional Streamlit UI for your multi-agent system * How to structure real-world agentic AI projects cleanly Timestamps - 00:00:00 - 00:01:31 Introduction 00:01:31 - 00:08:47 Understanding the Pipeline 00:08:47 - 00:17:51 Project Setup & Configuration 00:17:51 - 00:45:14 Building Custom Tools 00:45:14 - 01:16:02 AI Agents & LCEL Logic 01:16:02 - 01:48:19 Final Pipeline & Live Results 01:48:19 - 02:00:14 Generating the UI 02:00:14 - 02:01:04 Outro & Summary 🌐 Connect With Sheryians 🌐 Official Website – https://sheryians.com/ 🔗 View Our Courses – https://www.sheryians.com/courses/68d 📷 Instagram – https://instagram.com/sheryians.ai 🎮 Discord – https://discord.gg/sheryians Don't forget to LIKE 👍, SUBSCRIBE 🔔 for more AI & Data-focused learning, and COMMENT 💬 below if you have any questions or topic suggestions. multi agent ai system , langchain agents tutorial , agentic ai project , ai research agent , langchain multi agent , streamlit ai app , llm agents 2026 , langchain tools and agents , ai pipeline project , generative ai project 2026 , langchain full project , ai agents for beginners , research automation ai , langchain agent tutorial , agentic workflow langchain