How to Build a RAG App with OpenAI & Supabase

Lightning Lessons

Practical skills & tools to accelerate your career

Building AI-Native Products

How to Build a RAG App with OpenAI & Supabase

Hosted by Bryce Klein and Shaw Talebi

145 students

What you'll learn

Build an End-to-End RAG System from Scratch

Learn how to combine OpenAI + Supabase to create a fully working, production-ready documentation assistant.

Implement Smart Chunking and Search

Use adaptive chunking and vector search to enable accurate, fast retrieval across large doc sets.

Deploy an Interactive UI with Streaming

Build a Streamlit app that streams AI answers with source filtering, citations, and real-time feedback.

Why this topic matters

Most AI projects get stuck in notebooks. This session shows you how to go beyond the prototype and build a real, working RAG application. You'll learn how to combine OpenAI, Supabase, and Streamlit into a system you can deploy, extend, and use — a skillset that sets you apart in the era of AI-powered apps.

You'll learn from

Bryce Klein

Data Analyst @ One Inc. AI Builder.

Bryce is a data and automation expert with a background in physics and a passion for building real-world AI and analytics solutions. With deep experience in fintech and education, he’s helped organizations level up their operations through smart automation, RAG pipelines, and end-to-end data systems.

Shaw Talebi

Ex-Toyota Data Scientist with 6+ years in AI. Teaching 70k+ learners.

Dr. Shaw Talebi earned his PhD from the University of Texas at Dallas and has advised 100+ clients on AI and analytics solutions. Driven by a passion for learning and a mission to make AI accessible to all, he founded a YouTube channel and technical blog that now inspire over 70,000 learners.

Teaching Builders From...