9bdcbe0447
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>
44 lines
1.6 KiB
Markdown
44 lines
1.6 KiB
Markdown
# go-faiss
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[](https://pkg.go.dev/github.com/DataIntelligenceCrew/go-faiss)
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Go bindings for [Faiss](https://github.com/facebookresearch/faiss), a library for vector similarity search.
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## Install
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First you will need to build and install Faiss:
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```
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git clone https://github.com/blevesearch/faiss.git
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cd faiss
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cmake -B build -DFAISS_ENABLE_GPU=OFF -DFAISS_ENABLE_C_API=ON -DBUILD_SHARED_LIBS=ON .
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make -C build
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sudo make -C build install
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```
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On osX ARM64, the instructions needed to be slightly adjusted based on https://github.com/facebookresearch/faiss/issues/2111:
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```
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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 .
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// set FAISS_ENABLE_PYTHON to OFF in CMakeLists.txt to ignore libpython dylib
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make -C build
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sudo make -C build install
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```
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Building will produce the dynamic library `faiss_c`.
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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).
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You can do this with:
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sudo cp build/c_api/libfaiss_c.so /usr/local/lib
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Now you can install the Go module:
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go get github.com/blevesearch/go-faiss
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## Usage
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API documentation is available at <https://pkg.go.dev/github.com/DataIntelligenceCrew/go-faiss>.
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See the [Faiss wiki](https://github.com/facebookresearch/faiss/wiki) for more information.
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Examples can be found in the [_example](_example) directory.
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