Understanding Vector Databases

Vector databases have established themselves as the new semantic search norm, prioritizing the context and meaning of content over the conventional keyword-based approach. This talk explores the traditional "Classic" search, highlights its constraints, and provides an overview of vector databases. This repository contains code examples, demos, and slides from Exploring Vector Search.

Books Demo

Code from this demo was adopted from this repository and the article Navigating an Elastic Vector Database.

RAG example

The code from the RAG example shown is in this folder.

Additional Resources

• The big ideas behind retrieval augmented generation
• Vector search tutorial
• Chat bot tutorial