unum-cloud/USearch

Health v2 · maintenance only

Adoption not part of the score

4278 stars · 342 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

USearch is a fast, single-file similarity search and clustering engine for vectors and arbitrary objects, supporting spatial, binary, probabilistic, and user-defined metrics. It provides bindings for many languages including C++, Python, JavaScript, Rust, Java, Swift, C#, and Go, and runs on platforms from Linux to WebAssembly.

Use cases

• build semantic search over document embeddings
• find nearest neighbors for image similarity search
• cluster high-dimensional vectors at billion scale
• add a lightweight vector index to an existing database like SQLite
• power a recommender system with approximate nearest neighbor search
• run vector search in the browser via WebAssembly
• search with custom distance metrics beyond cosine or euclidean

When to choose

• you need a compact, embeddable ANN index with bindings for many languages
• you want faster or smaller alternative to FAISS for vector search
• you need custom distance metrics or non-vector object similarity
• you target unusual platforms like iOS, Android, or WebAssembly

When to avoid

• you need a full distributed vector database with replication and persistence out of the box
• you only need exact k-NN on small datasets where brute force suffices
• you want managed cloud-hosted vector search

Facets

library · maturity active

search-engine vector-database database machine-learning databases computer-vision windows wasm cpp python rust go jvm dotnet cross-platform ann hnsw similarity-search embeddings semantic-search multi-language-bindings single-file simd clustering search natural-language-processing linux macos android ios swift

Member repositories

For agents

markdown · JSON · MCP: product_card(name="unum-cloud/USearch")