It would be worth to add a native node-gyp bindings as Spotify Annoy index does here https://github.com/jimkang/annoy-node
OS:
Faiss version:
Faiss compilation options:
Running on:
Interface:
What is node-gyp?
node-gyp is a tool for building Node.js addons. This feature request amounts to creating JavaScript bindings that would run on a Node.js runtime.
This is not on our roadmap but could possibly be supported by the community.
On Tue 26 Feb 2019 at 18:21, Eduardo Pinho notifications@github.com wrote:
node-gyp https://github.com/nodejs/node-gyp is a tool for building Node.js
addons https://nodejs.org/dist/latest-v10.x/docs/api/addons.html. This
feature request amounts to creating JavaScript bindings that would run on a
Node.js runtime.—
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Lucas Hosseini
lucas.[email protected]
@beauby thank you, yes it good be an idea that someone could add a PR. Adding here that node-gyp is proven to not add too much overhead through the native binding, and the module will run fast as its native version. I'm using this approach not only for C++ bindings, like native Annoy, FastText, Hunspell, but also to bind whole Java (https://github.com/joeferner/node-java) to run ML pipelines like CoreNLP in Node.js etc.
Javascript is supported as an interface language by SWIG, see
http://www.swig.org/Doc3.0/Javascript.html#Javascript
so the whole Faiss API can be exposed.
I made a project. @loretoparisi do you want to give it a try?
https://github.com/facebookresearch/faiss/projects/4
@mdouze yes!
Closing, please reopen if you plan to work on this.
@beauby thanks hopefully yes.
Is anyone available to pick this task up on freelance basis?
Sorry to necrobump this issue but has there been any advance ? I guess the only other solution was mentioned by @loretoparisi is to use annoy but faiss is really nice to use in python and I guess it would have the same sucess on node.
Most helpful comment
This is not on our roadmap but could possibly be supported by the community.
On Tue 26 Feb 2019 at 18:21, Eduardo Pinho notifications@github.com wrote:
Lucas Hosseini
lucas.[email protected]