This month, we released Facebook AI Similarity Search (Faiss), a library that allows us to quickly search for multimedia documents that are similar to each other — a challenge where traditional query search engines fall short. We’ve built nearest-neighbor search implementations for billion-scale data sets that are some 8.5x faster than the previous reported state-of-the-art, along with the fastest
![Faiss: A library for efficient similarity search](https://cdn-ak-scissors.b.st-hatena.com/image/square/b36f94a211f3bff49b0ada715733d85ca3dbc707/height=288;version=1;width=512/https%3A%2F%2Fengineering.fb.com%2Fwp-content%2Fuploads%2F2017%2F03%2Ffaiss_logo.png)