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Hands-On RAG Bootcamp: Build Apps with LangGraph & LangChain | Udemy [Update 11/2025]
English | Size: 2.6 GB
Genre: eLearning[/center]

Build powerful Traditional, Multimodal & Agentic RAG with LangChain and LangGraph

What you'll learn
Getting Started with Retrieval-Augmented Generation (RAG)
Create a Simple RAG Application using LangChain
Build a RAG System to Chat with Multiple PDF Documents
Build a RAG Application from Scratch - No LangChain, No LlamaIndex
Conversational RAG with LangChain: Memory and Multi-Turn Logic
Build a Conversational RAG Streamlit App with Chat History using LangChain
Multimodal RAG: Chat with Complex PDFs (Text, Tables & Images)
Conversational Multimodal RAG: Chat with Complex PDFs (Text, Images & Tables)
Build a Hybrid CSV Intelligence Agent Using RAG, Pandas, and LLM Judge
Getting Started with Agentic RAG: Step-by-Step Implementation Using LangGraph

Unlock the Power of RAG - From Basic to Advanced AI Systems

RAG (Retrieval-Augmented Generation) is a powerful AI technique that helps systems understand, retrieve, and generate information intelligently. It is used in chatbots, virtual assistants, research tools, and enterprise AI solutions. This course will guide you step by step, from building simple RAG pipelines to creating advanced Agentic AI systems, giving you practical skills to apply RAG in real-world projects.

The Hands-On RAG Bootcamp is your step-by-step guide to learning RAG with LangChain and LangGraph. Whether you're new to AI or an experienced developer, this course will take you from the basics to advanced Agentic RAG systems.

What You Will Learn:

Getting Started with Retrieval-Augmented Generation (RAG)

Create a Simple RAG Application using LangChain

Build a RAG System to Chat with Multiple PDF Documents

Build a RAG Application from Scratch - No LangChain, No LlamaIndex

Conversational RAG with LangChain: Memory and Multi-Turn Logic

Build a Conversational RAG Streamlit App with Chat History using LangChain

Multimodal RAG: Chat with Complex PDFs (Text, Tables & Images)

Conversational Multimodal RAG: Chat with Complex PDFs (Text, Images & Tables)

Build a Hybrid CSV Intelligence Agent Using RAG, Pandas, and LLM Judge

Getting Started with Agentic RAG: Step-by-Step Implementation Using LangGraph

Who this course is for:
Anyone who wants to learn RAG, from basics to advanced systems
AI beginners who want a step-by-step, hands-on way to learn RAG
Anyone who aims to build smart assistants, chatbots, or research tools

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https://rapidgator.net/file/673aa756dd1bf0a239bbe72de1f69958/UD-Hands-OnRAGBootcampBuildAppswithLangGraphLangChain2025-11.part1.rar.html
https://rapidgator.net/file/4809f335a168583594ae3258b6890e6c/UD-Hands-OnRAGBootcampBuildAppswithLangGraphLangChain2025-11.part2.rar.html
https://rapidgator.net/file/1d551435717a75a1abfb39546e615572/UD-Hands-OnRAGBootcampBuildAppswithLangGraphLangChain2025-11.part3.rar.html

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https://trbt.cc/jj7na9hf2204/UD-Hands-OnRAGBootcampBuildAppswithLangGraphLangChain2025-11.part3.rar.html

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