EP 03 · S1·
Building AI-Powered Search with Embeddings
A deep dive into building semantic search from scratch — vector embeddings, cosine similarity, and why keyword search falls short for complex queries.
42:18AISearchEmbeddings
A show about building things in public — the projects, the process, and everything that goes wrong along the way.
A deep dive into building semantic search from scratch — vector embeddings, cosine similarity, and why keyword search falls short for complex queries.
What it takes to go from idea to deployed in a weekend — my process, the mistakes I made, and what I'd do differently.
The story behind this podcast and why sharing my work openly — including the failures — has been the best decision I've made as a developer.