How to Implement Hybrid Search with PostgreSQL (Full Tutorial)
AI Summary
In this tutorial, Dave Ebbelaar guides viewers through implementing hybrid search techniques using PostgreSQL. The video begins with an introduction to the concepts of hybrid search, which combines semantic search using vector embeddings and keyword-based search methods. Key steps include: setting up a Docker environment, inserting vector embeddings, and utilizing both semantic and keyword searches. The tutorial also covers reranking results for enhanced accuracy. Key topics include the use of OpenAI API for embeddings, using PG vector scale, and techniques for building effective search applications without relying on dedicated vector databases. Additionally, viewers are encouraged to explore the GitHub repository for code examples and further learning resources.