In recent years, AI-based semantic search has shifted from academic theory to ready-to-use tooling.

In this talk, we explore how to integrate vector search into Firebase projects, from fundamental concepts to practical implementation. We’ll see how to store embeddings, configure an index, and execute similarity-based queries.