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>

vendor/github.com/blevesearch/go-faiss/README.md

@@ -0,0 +1,43 @@
+# go-faiss
+
+[![Go Reference](https://pkg.go.dev/badge/github.com/DataIntelligenceCrew/go-faiss.svg)](https://pkg.go.dev/github.com/DataIntelligenceCrew/go-faiss)
+
+Go bindings for [Faiss](https://github.com/facebookresearch/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](https://github.com/facebookresearch/faiss/wiki) for more information.
+
+Examples can be found in the [_example](_example) directory.