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CHORUS/vendor/github.com/blevesearch/go-faiss/README.md
anthonyrawlins 9bdcbe0447 Integrate BACKBEAT SDK and resolve KACHING license validation 
Major integrations and fixes:
- Added BACKBEAT SDK integration for P2P operation timing
- Implemented beat-aware status tracking for distributed operations
- Added Docker secrets support for secure license management
- Resolved KACHING license validation via HTTPS/TLS
- Updated docker-compose configuration for clean stack deployment
- Disabled rollback policies to prevent deployment failures
- Added license credential storage (CHORUS-DEV-MULTI-001)

Technical improvements:
- BACKBEAT P2P operation tracking with phase management
- Enhanced configuration system with file-based secrets
- Improved error handling for license validation
- Clean separation of KACHING and CHORUS deployment stacks

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-06 07:56:26 +10:00

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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 https://github.com/facebookresearch/faiss/issues/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.