S sefiks.com Show HN: DeepFace now supports DB-backed vector search for face recognition DeepFace previously relied on filesystem-based datasets and pickle caches for face search, which made it stateful and hard to expose via APIs.We introduced register and search functions that store embeddings in a backend DB (Postgres, Mongo, Weaviate, Neo4j).This makes face recognition stateless, horizontally scalable, and suitable for API use.For Postgres and Mongo, FAISS is used for ANN search; Weaviate and Neo4j handle vector indexing natively.Additional databases and vector stores can be added over time. 2 points serengil 9 months ago 0 comments
We introduced register and search functions that store embeddings in a backend DB (Postgres, Mongo, Weaviate, Neo4j).
This makes face recognition stateless, horizontally scalable, and suitable for API use.
For Postgres and Mongo, FAISS is used for ANN search; Weaviate and Neo4j handle vector indexing natively.
Additional databases and vector stores can be added over time.