Indexing Faces for Scalable Visual Search - Build your own Google Photo Search

A comprehensive guide to building a scalable face recognition pipeline using CocoIndex. Covers detecting faces in images, extracting 128-dimensional embeddings, and storing them in vector databases like Qdrant or Postgres with PGVector. The tutorial demonstrates processing images from local directories or cloud storage, using dlib's CNN-based face detector, and structuring data for similarity queries. Includes practical examples for photo search, access control, and social graph analysis applications.