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The author released whitetree, a dynamic index built on scipy cKDTree using whitening for exact Mahalanobis searches. It reports 40–300x speedups over sklearn BallTree and 7–60x over FAISS Flat at 500k points in static tests, while supporting interleaved inserts and deletes with exact results.
The author released embedflow, a method and tool to migrate embedding models by reranking K documents from the old index instead of re-embedding the entire corpus. Tested on up to 1M documents across 63 migrations; best result was qwen4b→qwen8b matching native retrieval with K=50. embedflow supports qdrant, pgvector, and faiss and is available on PyPI and GitHub.
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