Go-Faiss

Faiss is a library for efficient similarity search and clustering of dense vectors.

Go-Faiss is go library use Faiss directly

Faiss Version v1.6.3

Install

Build from source

Build Faiss

https://github.com/facebookresearch/faiss/blob/v1.6.3/INSTALL.md

Build C interface

https://github.com/facebookresearch/faiss/blob/v1.6.3/c_api/INSTALL.md

Download from github

	git clone https://github.com/41tair/go-faiss
	mv go-faiss/lib/libfaiss_c.so /usr/local/lib/libfaiss_c.go

Use in go

    import "github.com/41tair/go-faiss/faiss"

Example

In example directory, you can find example.go

1. Generate some data and create a flat index

2. Then add vectors to index

3. Generate a new vectors for search

4. Search the top 10 vector

Test

    go test