Most Retrieval-Augmented Generation (RAG) tutorials start with a framework like LangChain - but what if you could build leaner, faster apps using just Python?

In this online session, we’ll show you the fundamentals and how to simplify the complexity of traditional AI toolchains. You’ll learn how to build production-ready RAG applications using only Python, SurrealDB, and Streamlit - no framework required.

In this session, we’ll walk through:

• Why it's good to learn the fundamentals in pure Python before using a framework

• How to manage multi-model data using SurrealDB

• Building a front end for your RAG app with Streamlit

You’ll leave with a clearer mental model for building RAG apps - and a fully working example you can adapt for your own use cases.