Skip to content

Latest commit

 

History

History
43 lines (29 loc) · 1.59 KB

README.md

File metadata and controls

43 lines (29 loc) · 1.59 KB
Raw

go-faiss

Go Reference

Go bindings for Faiss, a library for vector similarity search.

Install

First you will need to build and install Faiss:

git clone https://github.com/blevesearch/faiss.git
cd faiss
cmake -B build -DFAISS_ENABLE_GPU=OFF -DFAISS_ENABLE_C_API=ON -DBUILD_SHARED_LIBS=ON .
make -C build
sudo make -C build install

On osX ARM64, the instructions needed to be slightly adjusted based on facebookresearch/faiss#2111:

LDFLAGS="-L/opt/homebrew/opt/llvm/lib" CPPFLAGS="-I/opt/homebrew/opt/llvm/include" CXX=/opt/homebrew/opt/llvm/bin/clang++ CC=/opt/homebrew/opt/llvm/bin/clang cmake -B build -DFAISS_ENABLE_GPU=OFF -DFAISS_ENABLE_C_API=ON -DBUILD_SHARED_LIBS=ON .
// set FAISS_ENABLE_PYTHON to OFF in CMakeLists.txt to ignore libpython dylib
make -C build
sudo make -C build install

Building will produce the dynamic library faiss_c. You will need to install it in a place where your system will find it (e.g. /usr/local/lib on mac or /usr/lib on Linux). You can do this with:

sudo cp build/c_api/libfaiss_c.so /usr/local/lib

Now you can install the Go module:

go get github.com/blevesearch/go-faiss

Usage

API documentation is available at https://pkg.go.dev/github.com/DataIntelligenceCrew/go-faiss. See the Faiss wiki for more information.

Examples can be found in the _example directory.