Our great sponsors
-
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
If you need large scale (1000+ dimension, millions+ source points, >1000 queries per second) and accept imperfect results / approximate nearest neighbors, then other people have already mentioned some of the best libraries (FAISS, Annoy).
If you need large scale (1000+ dimension, millions+ source points, >1000 queries per second) and accept imperfect results / approximate nearest neighbors, then other people have already mentioned some of the best libraries (FAISS, Annoy).
Look at ANN Benchmarks - there are quite a few indexes tested on various datasets.
I'll assume this is the link to pynndescent, looks cool! Thanks for sharing. I haven't used it before. Also seems like it's an approximate nearest neighbor algorithm, just FYI for others seeing this.