In this video, Derek demonstrates how to build a similarity search engine using AWS AppSync and Amazon Bedrock. He walks through the six steps to create a semantic search, including generating embeddings, storing data in a vector database, and querying with AWS AppSync. The demo showcases building a product search application using Amazon product data, highlighting the integration of AWS services like Aurora PostgreSQL, ECS, and Lambda. This tutorial provides a practical guide for developers looking to implement advanced search capabilities using generative AI and retrieval augmented generation (RAG) techniques.

00:00 - Introduction
01:08 - RAG with Amazon Bedrock
02:16 - Using AWS AppSync
04:32 - Demo
15:00 - Next Steps