Vector search and similarity databases

13 repos

Libraries, engines, and databases for indexing and searching high-dimensional vector embeddings using nearest-neighbor and similarity search algorithms. This cluster covers both full-featured vector database systems (like Qdrant) and lighter-weight embedding search libraries across Python, Rust, and C++, with support for hybrid search combining vector similarity with traditional keyword matching. It's a core infrastructure area for building semantic search, recommendation systems, and AI-powered retrieval applications.

Python · 4
Rust · 3
C++ · 2
TypeScript · 1
Java · 1
Go · 1
vector-database ·24,252
similarity-search ·22,720
search-engine ·22,481
semantic-search ·20,735
vector-search ·14,777
nearest-neighbor-search ·11,811
approximate-nearest-neighbor-search ·11,528
recommender-system ·11,455
image-search ·11,455
postgresql ·11,072