Build a RAG pipeline from scratch in 90 mins

Build a RAG pipeline from scratch in 90 mins

Build a RAG pipeline from scratch in 90 mins

Hosted by: Dhaval Patel, Dishant Parikh & Siddhant

US$ 10

Fri, 17 Jul 2026
07:00 PM - 08:30 PM IST

Online (Zoom)

Hosted by

Dhaval Patel
Dhaval Patel

Data Entrepreneur (12+ Years), YouTuber, Ex - Bloomberg, NVIDIA

Dishant Parikh
Dishant Parikh

Lead Machine Learning Engineer

Siddhant
Siddhant

AI Research Engineer


Want to understand how AI applications answer questions using your own documents and data? In this hands-on workshop, you'll build a complete Retrieval-Augmented Generation (RAG) pipeline from scratch using Python and understand how documents are processed, stored, retrieved, and used to generate accurate, context-aware responses.

You'll build each component step by step from document processing and vector storage to retrieval and response generation and leave with a working end-to-end RAG application, a clear understanding of how the entire pipeline works, and the foundation to build more advanced AI applications using your own data.

What you'll learn:

🔹 Understand the basics of RAG.
🔹 Build a complete RAG pipeline from scratch.
🔹 Process and store documents for retrieval.
🔹 Retrieve relevant information using a vector database.
🔹 Generate accurate responses using retrieved context.
🔹 Improve results with techniques like metadata filtering and context compression.

Key Takeaways:

By the end of this workshop, you'll be able to:

✔️ Understand how a RAG pipeline works.
✔️ Build your own RAG application using Python.
✔️ Work with a vector database for document retrieval.
✔️ Apply simple techniques to improve response quality.

Who Should Attend:

✔️ Intermediate Python developers.
✔️ AI engineers and data scientists.
✔️ Anyone looking to build AI applications with their own data.

Who Should Not Attend

✖️ Have no Python programming experience.
✖️ Are completely new to Large Language Models (LLMs).
✖️ Are looking for a non-technical session.

Prerequisites

Before attending, you should have:

📌 Intermediate Python knowledge.
📌 Basic understanding of LLMs.
📌 Python installed.
📌 Antigravity installed. (Download here)
📌 A Groq API key. (Get API key here)

Build a RAG pipeline from scratch in 90 mins

US$ 10
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