Description
faiss-server provides gRPC services to for similarity search using faiss. It is written in C++ and now supports only CPU environments.
faiss-server alternatives and similar libraries
Based on the "Machine Learning" category.
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mxnet
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xgboost
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Dlib
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Caffe2
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vowpal_wabbit
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CCV
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catboost
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RNNLIB
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Fido
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NN++
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OpenHotspot
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sofia-ml
The suite of fast incremental algorithms for machine learning. [Apache2]
Free webinar: The Power of Clean C++
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They vary from L1 to L5 with "L5" being the highest.
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faiss-servervsmxnet
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README
faiss-server
faiss-server provides gRPC services to for similarity search using faiss. It is written in C++ and now supports only CPU environments.
Installation
Currently, installation is from source only.
$ git clone https://github.com/ynqa/faiss-server
$ cd faiss-server
To build faiss-server on your local, please use cmake.
$ mkdir build; cd build
$ cmake ..
$ make
[Beta] To build as docker image:
$ docker build -t faiss-server .
Demo
- Create indexed file, which is composed of the word vectors. Indexed words are on text8 corpus and those vectors are trained by word2vec model of gensim.
$ python example/indexing/indexing.py
- Select the indexed file and then execute faiss-server.
$ ./build/bin/faiss_server -file_path example/indexing/faiss.index
- If you build with docker:
$ docker run -p 8080:8080 -v $(pwd)/example/indexing:/tmp faiss-server -file_path /tmp/faiss.index
- Throw the requests for similarity search
$ PYTHONPATH=python python example/client/search.py
Usage
faiss_server:
-file_path (index file name) type: string default: ""
-host (host of faiss server) type: string default: "0.0.0.0"
-port (port of faiss server) type: string default: "8080"
-top_k (default number of neighbor) type: uint64 default: 5