Open source approximate-nearest-neighbor-search projects
Every project in the registry tagged approximate-nearest-neighbor-search, ranked by real GitHub adoption.
AI-native vector database for intuitive applications
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
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Frequently asked questions
How many open source approximate-nearest-neighbor-search projects are there?
This registry tracks 3 projects tagged approximate-nearest-neighbor-search, with 32,975 GitHub stars between them. The most-adopted is Weaviate at 16,818 stars.
Are these approximate-nearest-neighbor-search projects free to use?
Yes — 2 of the 3 carry an explicit open-source licence across 1 distinct licence, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which approximate-nearest-neighbor-search project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these approximate-nearest-neighbor-search projects still maintained?
3 of the 3 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.