Build RAG System with LangChain

Hosted by Nitin Monga

Mon, Jan 26, 2026

2:00 AM UTC (1 hour)

Virtual (Zoom)

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55 students

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Agentic AI Bootcamp: Build Powerful GenAI Apps & Multimodal AI Agents
Nitin Monga
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What you'll learn

How Retrieval-Augmented Generation (RAG) Works

Understand the core concepts behind RAG and why it’s essential for building accurate, real-world AI applications.

How to Build RAG Pipelines Using LangChain

Learn how to combine documents, embeddings, vector stores, and LLMs into a working RAG system.

How to Use ChromaDB as a Vector Store for RAG

Integrate ChromaDB with LangChain to store embeddings and run semantic similarity search for RAG.

Why this topic matters

RAG is the most practical way for enterprises to extend LLM capabilities using proprietary data. LangChain provides the tools to build these systems efficiently, from document ingestion to secure retrieval and generation. This skill is now essential for building intelligent, scalable AI solutions for the enterprise.

You'll learn from

Nitin Monga

Tech Founder AI Agent Cafe

I believe managing is routine but building is an art. That’s where the real magic happens, & that is why I moved from a corporate life of managing projects & teams to entrepreneurship because I wanted to create, innovate, and see ideas take shape in the real world.

I’m the Founder of AI Agent Café, where we design & build intelligent AI agents, chatbots, & automation workflows that help startups, solopreneurs, and businesses scale smarter through AI.

When I’m not building or consulting, I teach and mentor professionals, empowering them to build the next generation of AI-powered products.

Portfolio - https://nitinai.xyz

LinkedIn - https://www.linkedin.com/in/nitinmonga-ai/

Advanced AI Course - https://maven.com/nitinai/agentic-ai-bootcamp

Career highlights

  • I love working at the intersection of Machine Learning, Artificial Intelligence, and Algorithmic Trading — a space where data meets decision-making and intelligence meets opportunity.
  • With 20+ years of experience in IT and over 9 years in Data Science and Artificial Intelligence, I’ve worked with organizations like Wipro Technologies, Xerox and 3i Infotech and worked across different domains like banking, retail, finance & stock market.
  • Built & deployed multi-agent AI apps, Agentic RAG solutions, and conversational Voice/Text AI Chatbots using OpenAI, CrewAI, 11Labs.
  • LLMs, NLP, Computer Vision, Deep Learning, Statistical Modeling, Generative AI
  • Key Skills - Python, R, SQL | Frameworks: TensorFlow, LangChain, CrewAI, AutoGen, LangGraph, Vector Databases, Agentic RAG, MCP, Cloud.


AI Engineer & Tech Founder AiAgentCafe

NVIDIA
Ogilvy
American Financial Group, Inc.
ICICI Bank
National Bank of Kuwait

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