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Vector DBFreeOpen Source
ANNOY
Approximate nearest neighbors with compact, mmap-backed vector indexes
Apache-2.0
ABOUT
Exact nearest-neighbor search becomes slow and memory-intensive once embedding collections grow large. Annoy builds compact approximate indexes that can be memory-mapped from disk, making it easier to serve fast similarity lookups, recommendations, and semantic retrieval without loading every vector into one in-memory process.
INSTALL
pip install annoyINTEGRATION GUIDE
1. Serve approximate vector search for embeddings in semantic retrieval systems
2. Power recommendation features with fast nearest-neighbor lookups at low memory cost
3. Share one read-only vector index across multiple application processes
4. Load large similarity indexes quickly from disk in production services
TAGS
vector-searchannsimilarity-searchembeddingspythonc-plus-plusmmap