docs/faiss.md
23 lines · 536 B · markdown
# faiss
**Licence:** MIT | **Language:** C++ | **Source:** https://github.com/facebookresearch/faiss
## Role in the stack
Similarity search library
## Why it's here
Meta's battle-tested ANN library. Use it for maximum recall and speed inside your own process rather than as a service.
## Using it
See the project README in the fetched source:
```bash
./fetch-sources.sh ./sources
tar xzf ./sources/faiss.tar.gz -C ./sources
```
This component is a library, not a service - install it into your own application environment.