tiannuo-yang/VDTuner
[ICDE 2024] VDTuner - Automated Performance Tuning for Vector Data Management Systems (Vector Databases)
VDTuner helps data engineers and ML operations specialists optimize their vector databases for better search performance and accuracy. It takes your existing vector database configuration and a benchmark dataset, then automatically suggests optimized settings to improve how quickly your system finds relevant data and the quality of those results. This tool is for anyone managing vector databases who needs to fine-tune their system for demanding search tasks.
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Use this if you manage a vector database like Milvus and need to automatically find the optimal configuration to achieve high search speed and recall rates for your specific datasets and workloads.
Not ideal if you are not using Milvus or a similar vector database, or if you do not have the technical expertise to set up and run performance benchmarks.
Stars
35
Forks
8
Language
Python
License
MIT
Category
Last pushed
Apr 21, 2024
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0
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