Endee is an open-source vector database designed for AI search, retrieval-augmented generation (RAG), semantic search, and hybrid retrieval workloads. It supports dense and sparse vector retrieval, payload filtering for metadata-aware queries, and backup workflows. The system is implemented in C++ and optimized for modern CPU targets including AVX2, AVX512, NEON, and SVE2.
- Website
- https://endee.io[01]
- Source Code
- https://github.com/endee-io/endee[02]
- Tech Docs
- https://docs.endee.io/[03]
- Developer
- Country of Origin
- IN
- Start Year
- 2026
- Project Types
- Commercial, Open Source
- Written in
- C#
- License
- AGPL v3
- @EndeeVectorDB[05]
Endee is an open-source vector database designed for AI search, retrieval-augmented generation (RAG), semantic search, and hybrid retrieval workloads. It supports dense and sparse vector retrieval, payload filtering for metadata-aware queries, and backup workflows. The system is implemented in C++ and optimized for modern CPU targets including AVX2, AVX512, NEON, and SVE2.
Citations
6 sources- Endee - High performance vector database for production AI endee.io
- GitHub - endee-io/endee: Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/ github.com
- https://docs.endee.io/ endee.io
- Blog – Vector Database Insights & Tutorials | Endee endee.io
- https://twitter.com/EndeeVectorDB twitter.com
- https://github.com/EndeeLabs/endee/commit/46a802788aeec683101a840238fe757a1804f118 github.com