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David Snelling 64e2c63c2a feat: add GPU acceleration for embeddings with smart device auto-detection ... Add comprehensive GPU support for embedding generation while maintaining optimized CPU processing for distance calculations: - Add device option to TransformerEmbeddingOptions (auto, cpu, webgpu, cuda, gpu) - Implement smart auto-detection of best available GPU (WebGPU for browsers, CUDA for Node.js) - Add automatic CPU fallback if GPU initialization fails - Fix misleading GPU acceleration claims in distance functions and HNSW search - Update documentation to accurately reflect GPU usage (embeddings only) - Add comprehensive example demonstrating GPU acceleration usage - Maintain full backward compatibility with existing code Performance improvements: 3-5x faster embedding generation when GPU is available, while keeping faster CPU processing for 384-dim vector distance calculations.		2025-08-05 20:00:04 -07:00
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cloud-deployments	refactor: simplify build system and improve model loading flexibility	2025-08-05 16:09:30 -07:00
docker-deployment	refactor: simplify build system and improve model loading flexibility	2025-08-05 16:09:30 -07:00
simple-deployment	refactor: simplify build system and improve model loading flexibility	2025-08-05 16:09:30 -07:00
cli-wrapper-example.js	**style(cli): update examples with consistent formatting and clean code**	2025-07-15 11:53:42 -07:00
flush-statistics-example.js	**feat(examples, core, docs): add flushStatistics example, implementation, and documentation**	2025-07-25 10:55:37 -07:00
gpu-acceleration.js	feat: add GPU acceleration for embeddings with smart device auto-detection	2025-08-05 20:00:04 -07:00
type-utils-example.js	**feat(utils): add type utility functions and examples for runtime type management**	2025-07-31 14:24:16 -07:00
type-utils-example.ts	**feat(utils): add type utility functions and examples for runtime type management**	2025-07-31 14:24:16 -07:00
write-only-mode.js	**feat: add write-only mode support and example usage**	2025-07-30 13:32:30 -07:00