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Author:
jyunming
Summary:
Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search
Latest version:
0.9.1
Required dependencies:
numpy
Optional dependencies:
chromadb
|
lancedb
|
langchain-core
|
llama-index-core
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