Free live masterclass47 seats left

Build a RAG Chatbot from Scratch

A free 90-minute live masterclass for software engineers who want to build document-aware AI apps, not just use them.

Tuition

₹2,999Free100% off
Date
Sunday, 21 June 2026
Time
3:00 pm IST
Format
Live · 90 min · Free

Register free

Live session · 90 minutes · Join link in your confirmation email

Seats are limited to keep the session interactive. Register early.

What is this

Most developers have used ChatGPT. Almost none have built something like it.

RAG (Retrieval-Augmented Generation) is the architecture behind every AI app that answers questions from your own data. It's how companies build internal knowledge bots, document assistants, and customer support systems that actually know what they're talking about.

In this free live session, you'll build one from scratch. Every line of code. Every design decision explained. You'll walk away with a working chatbot and the understanding to extend it into anything.

Session agenda

90 minutes. Every minute planned.

  1. 0–10 min

    Segment 1: Concept Map

    How RAG works under the hood: embeddings, vector search, and retrieval explained visually before a single line of code.

  2. 10–35 min

    Segment 2: Build the Pipeline

    Ingest a PDF, chunk it, embed it, and store it in Pinecone. You'll understand every step, not just run it.

  3. 35–65 min

    Segment 3: Add the LLM + Chat UI

    Wire OpenAI into the retrieval pipeline and build the Streamlit chat interface. Your bot starts answering questions.

  4. 65–80 min

    Segment 4: Test & Extend

    Upload your own PDF, test edge cases, and learn how to extend this into a production-grade app.

  5. 80–90 min

    Segment 5: Live Q&A

    Ask the instructor anything. Architecture questions, career questions, what to build next. Open floor.

What you'll build

A Company Knowledge Bot

A live AI chatbot that reads any PDF you give it and answers questions with cited sources. Built end-to-end in 90 minutes using production tools.

Tech stack

  • LangChain: for the RAG pipeline
  • Pinecone: as the vector database
  • OpenAI Embeddings: for semantic search
  • Streamlit: for the web interface

Social proof

What engineers are saying

From past attendees of the Gen AI Engineer Bootcamp

  • Instructor
    Arpit's expertise extends beyond just coding. He emphasized best practices, code organization, and efficient problem-solving strategies. His real-world experience and knowledge of industry standards equipped me with the skills and confidence needed to tackle challenging projects.
    Muhammad Shahzaib Shafiq
  • Career outcome
    He feels like a big brother to me. With his guidance I moved from a service-based company to a product-based one with a 300% hike. Thank you for the valuable insights and for guiding me through tough times. I am always grateful.
    Ayush Agrawal
  • Career guidance
    It was a really insightful and friendly session. I got clarity about my career path and what I should pursue to achieve my goals.
    Souravh Pateriya

Your Instructors

  • Shubham Pandey

    Shubham Pandey

    Senior AI Engineer, AppInventiv

    LinkedIn

    Builds and ships LLM products for enterprise clients.

  • Arpit Bhushan Sharma

    Arpit Bhushan Sharma

    Manager, Airtel

    LinkedIn

    Leads production AI initiatives in telecom.

Session details

Date
Sunday, 21 June 2026
Time
3:00 pm IST
Platform
Zoom (join link in your confirmation email)
Duration
90 minutes
Cost
₹2,999Free100% off

Seats are limited to keep the session interactive. Register early.

About Saivvion Learning

Saivvion Learning runs live, cohort-based AI bootcamps for working engineers. Every session is taught by practitioners who build AI in production, not educators who only teach theory. This masterclass is taught by the same instructors who run the Gen AI Engineer Bootcamp.

Sprint 3 of the bootcamp

This session is Sprint 3 of our Gen AI Engineer Bootcamp. Attendees get a head start on the full 8-week program.

Explore the Gen AI Engineer Bootcamp →