1 个仓库
Awesome GitHub RepositoriesBatch Vector Queries
Techniques for processing multiple vector search queries simultaneously to maximize throughput.
Distinct from Vector Search: Distinct from Vector Search: focuses on the bulk processing of multiple queries as tensors rather than single-query retrieval.
Explore 1 awesome GitHub repository matching data & databases · Batch Vector Queries. Refine with filters or upvote what's useful.
Awesome Batch Vector Queries GitHub Repositories
用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
- unum-cloud/usearch
unum-cloud/USearch
3,888在 GitHub 上查看USearch is a high-performance vector similarity search engine and approximate nearest neighbor index designed for dense embeddings. It functions as a low-level vector database core and high-dimensional vector indexer, providing the primitives necessary to store and retrieve vectors across massive datasets. The engine distinguishes itself through hardware-level SIMD acceleration for distance kernels and a proximity-graph indexing system that enables fast retrieval across billions of vectors. It supports multi-precision vector quantization to balance memory usage and accuracy, and utilizes memo
Enables simultaneous querying of multiple vectors using tensors to increase throughput for bulk workloads.
C++approximate-nearest-neighbor-searchclusteringdatabase
