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LangChain & LangGraph: RAG to Multi-Agent

Go from RAG pipelines to production multi-agent systems.

4.5(134)13.4K learners EN
PRCreated by Pradip Nichite

7h 36m

On-demand video

11

Lessons

Included

Certificate

Mobile & TV

Watch anywhere

You'll use
LangChainOpenAIPython
LangChain & LangGraph: RAG to Multi-Agent
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This course includes:

  • 7h 36m on-demand video (free)
  • 11 lessons
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

What you'll learn

  • Build advanced RAG with LangChain
  • Orchestrate multi-agent workflows in LangGraph
  • Add tools, memory, and state to agents
  • Ship production-ready LLM apps

Official study guide

The complete 23-page companion book for LangChain & LangGraph: RAG to Multi-Agent, covering every module with worked examples, key terms, self-check questions, and a full glossary. Print it or read it offline.

Tools & technologies

Industry-standard tools you'll work with in this course.

LangChainOpenAIPython

Course content

2 sections · 11 lessons · 7h 36m

  • Langchain RAG Course: From Basics to Production-Ready RAG ChatbotPreview1h 57m
  • Mastering Natural Language to SQL with LangChain and LangSmith | NL2SQL | With Code 👇1h 11m
  • LangGraph RAG Agent Tutorial | Basics to Advanced Multi-Agent AI Chatbot | With Code54m
  • LangChain Expression Language (LCEL) | Langchain Tutorial | Code23m
  • Using Langchain and Open Source Vector DB Chroma for Semantic Search with OpenAI's LLM | Code22m
  • Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit: | Code30m
  • LangChain, SQL Agents & OpenAI LLMs: Query Database Using Natural Language | Code20m
  • Building a Document-based Question Answering System with LangChain, Pinecone, and LLMs like GPT-4.32m

Requirements

  • •Python
  • •Basic LLM knowledge

About this course

Go from RAG pipelines to production multi-agent systems. This curated learning path is organized into 2 modules and 11 lessons, taught by Pradip Nichite. MegaCourse adds structure, learning outcomes, progress tracking, and a shareable certificate of completion.

Who this course is for

  • AI engineers
  • Backend developers

Instructor

PR
Pradip Nichite

Trusted creator on MegaCourse

Licensing & attribution

License: YouTube Standard License

Videos are embedded from their original creators and remain free to watch. MegaCourse's paid layer covers our own study guides, graded exams, certificates, and curation.

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