Embedding & KV cache compression for LLMs and vector databases. PCA-Matryoshka + TurboQuant: 27x compression at 99.8% recall@10 (all methods benchmarked with identical reranking). Learned codebooks, asymmetric K/V, CUDA kernels, HNSW, auto-config. 514 tests. MIT.
☆20Jul 4, 2026Updated last week
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