Building a RAG Application with GitHub Models and Postgres from Scratch

Learn how to build a Retrieval Augmented Generation (RAG) application from scratch using GitHub Models and PostgreSQL in this comprehensive video tutorial. Explore the fundamentals of RAG and its potential to enhance AI model performance. Follow along as Pamela Fox demonstrates the step-by-step process of creating a RAG app, covering topics such as setting up a PostgreSQL database, implementing vector embeddings, and integrating GitHub Models. Gain practical insights through an extensive demo, and discover how to leverage RAG techniques to develop smarter AI applications. Access accompanying code resources and compare different implementation approaches to deepen your understanding of RAG application development.

Welcome
Building a RAG application with a PostgreSQL database
How Retrieval Augmented Generation RAG works
Demo
In summary
Wrap