Open-source vector database benchmarking tool testing databases across production-critical scenarios including static collection, filtering, and streaming cases with modern embedding model datasets.
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VectorDBBench
VDBBench is an open-source vector database benchmarking tool designed for comparing and evaluating vector databases. It's designed for users who require high-performance data storage and retrieval systems.
Supports testing of:
VDBBench is the only benchmark tool that tests vector databases across the complete spectrum of production-critical scenarios:
Offers the ability to select and compare results from multiple tests simultaneously, making it easy to understand relative performance across different vector databases.
VDBBench uses vectors generated from state-of-the-art embedding models that power today's AI applications, moving beyond legacy datasets like SIFT and GloVe.
VDBBench measures:
Free and open-source.
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