Annoy
Approximate nearest neighbor library by Spotify optimized for memory usage.
About
Annoy, Approximate Nearest Neighbors Oh Yeah by Spotify, is a C++ library with Python bindings that builds read-only, file-based nearest-neighbor indexes. The indexes are memory-mapped so many processes can share the same data with low overhead, which suits recommendation and embedding lookup at serving time. It trades index immutability for speed and small memory footprint. Released under the Apache 2.0 license.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- Vector Databases & Embeddings
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
Related Tools
Fast embedding inference server supporting many embedding models.
Open-source vector similarity search extension for PostgreSQL.
All-in-one embeddings database for semantic search, LLM orchestration, and language model workflows.
Library for representing and sending multimodal data by Jina AI.
Python client library for Qdrant vector database.
Efficient similarity search library by Meta for dense vector clustering and retrieval.