Photon Engine

A general-purpose analytical engine with built-in vector processing capabilities, excelling at traditional analytical workloads and efficient handling of vector operations. It is an example of a vector engine.

Open‑source library providing fast SIMD‑accelerated implementations of similarity and distance computations (e.g., vector inner products and distances), serving as an efficient alternative to scipy.spatial.distance and numpy.inner for vector search and vector database workloads.

A unified system designed for efficient multi-index vector search, directly addressing large-scale vector database performance and scalability challenges.

ANN-Benchmarks is a benchmarking platform specifically for evaluating the performance of approximate nearest neighbor (ANN) search algorithms, which are foundational to vector database evaluation and comparison.

A benchmarking resource for evaluating approximate nearest neighbor search (ANNS) methods on billion-scale datasets, highly relevant for assessing the scalability of vector databases.

Milvus Sizing Tool helps users estimate the hardware and resource requirements needed to deploy Milvus based on their anticipated data scale and workload.