The Excellence
Directory Platform Template

BEIR (Benchmarking IR) is a benchmark suite for evaluating information retrieval and vector search systems across multiple tasks and datasets. Useful for comparing vector database performance.

Curated datasets for benchmarking filtered approximate nearest neighbor (ANN) search in vector databases. Enriched with payload metadata and pre-generated filtering requests, including synthetic and real-world data for keyword and geo-spatial queries.

Billion-scale benchmark dataset containing 128-dimensional SIFT descriptors of one billion images. Widely used standard for evaluating approximate nearest neighbor search algorithms at scale.

A collection of datasets curated by Intel Labs specifically for evaluating and benchmarking vector search algorithms and databases.