Faiss is optimized to perform similarity searches on large datasets. It has strong community support. It is open-source and free to use, hassle-free usage. FAISS provides multiple indexing methods like flat indexes, inverted lists, HNSW, and product. Review collected by and hosted on G2.com.

Faiss can consume a lot of memory, especially when using flat indexes or other memory-intensive algorithms. This can become an issue for extremely large datasets, even if you’re using GPU acceleration. It doesn’t natively support distributed search out of the box. Review collected by and hosted on G2.com.