Implement HNSW graph structure, GPU search, and unit tests#2
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July 2, 2026 18:47
- Added `hnsw.worker.ts` to handle graph construction and search in a Web Worker, ensuring main thread remains unblocked during operations. - Introduced `hnswGpu.ts` for GPU-based graph search execution, leveraging WebGPU for efficient query processing. - Created `hnswGraph.ts` to define the core HNSW graph structure, including methods for graph construction, serialization, and k-NN search. - Implemented efficient memory management and data handling for both CPU and GPU paths, optimizing performance for large datasets.
… and other components - Implement tests for snapshot format serialization and deserialization in `format.test.ts`. - Add tests for the `hashingEmbedder` functionality in `hashing.test.ts`. - Create comprehensive tests for the `HNSWGraph` class, including search and serialization in `hnswGraph.test.ts`. - Introduce tests for K-means clustering algorithms and related utilities in `kmeans.test.ts`. - Add tests for the pseudo-random number generator (PRNG) functions in `prng.test.ts`. - Implement tests for the `Rotator` class and its functionalities in `rotator.test.ts`. - Create tests for the `Store` class, ensuring proper handling of vectors and entries in `store.test.ts`. - Add tests for the `topK` function to validate its behavior with various score inputs in `topk.test.ts`. - Configure Vitest workspace for unit and browser testing environments in `vitest.workspace.ts`.
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