I use it all the time. If it’s “good” depends more on your model for embeddings, but you do need to know a bit to tune the index. Whatever algo you choose, re

I use it all the time. If it’s “good” depends more on your model for embeddings, but you do need to know a bit to tune the index. Whatever algo you choose, read the paper. If you’re using lucene HNSW, it will scale but will eat lots and lots of Heap RAM. If you’re using FAISS or nmslib plugins keep an eye out for JNI RAM consumption as well as its outside the heap. Overall, I’d say that it is a challenge to easily scale ANN past 100M vectors unless it’s given significant attention from the team.