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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
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/
| Date | Stars |
|---|---|
| 2026-07-24 | 1325 |
| 2026-07-25 | 1325 |
| 2026-07-28 | 1325 |
| 2026-07-30 | 1325 |
| 2026-07-31 | 1323 |
| 2026-08-06 | 1323 |
Today
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This week
-2 stars this week
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Momentum
15.0
growth rate 0.00%/day
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<source media="(prefers-color-scheme: dark)" srcset="docs/assets/logo-dark.svg">
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<img height="100" alt="Endee" src="docs/assets/logo-dark.svg">
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<b>High-performance open-source vector database for AI search, RAG, semantic search, and hybrid retrieval.</b>
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<a href="./docs/getting-started.md"><img src="https://img.shields.io/badge/Quick_Start-Local_Setup-success?style=flat-square" alt="Quick Start"></a>
<a href="https://docs.endee.io/quick-start"><img src="https://img.shields.io/badge/Docs-Quick_Start-success?style=flat-square" alt="Docs"></a>
<a href="https://github.com/endee-io/endee/blob/master/LICENSE"><img src="https://img.shields.io/github/license/endee-io/endee?style=flat-square" alt="License"></a>
<a href="https://discord.gg/5HFGqDZQE3"><img src="https://img.shields.io/badge/Discord-Join_Chat-5865F2?logo=discord&style=flat-square" alt="Discord"></a>
<a href="https://endee.io/"><img src="https://img.shields.io/badge/Website-Endee-111111?style=flat-square" alt="Website"></a>
<!-- <a href="https://endee.io/benchmarks"><img src="https://img.shields.io/badge/Benchmarks-Coming_Soon-1F8B4C?style=flat-square" alt="Benchmarks"></a> -->
<!-- <a href="https://endee.io/cloud"><img src="https://img.shields.io/badge/Cloud-Coming_Soon-2496ED?style=flat-square" alt="Cloud"></a> -->
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<strong><a href="./docs/getting-started.md">Quick Start</a> • <a href="#why-endee">Why Endee</a> • <a href="#use-cases">Use Cases</a> • <a href="#features">Features</a> • <a href="#api-and-clients">API and Clients</a> • <a href="#docs-and-links">Docs</a> • <a href="#community-and-contact">Contact</a></strong>
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# Endee: Open-Source Vector Database for AI Search
**Endee** is a high-performance open-source vector database built for AI search and retrieval workloads. It is designed for teams building **RAG pipelines**, **semantic search**, **hybrid search**, recommendation systems, and filtered vector retrieval APIs that need production-oriented performance and control.
Endee combines vector search with filtering, sparse retrieval support, backup workflows, and deployment flexibility across local builds and Docker-based environments. The project is implemented in C++ and optimized for modern CPU targets, including AVX2, AVX512, NEON, and SVE2.
If you want the fastest path to evaluate Endee locally, start with the [Getting Started guide](./docs/getting-started.md) or the hosted docs at [docs.endee.io](https://docs.endee.io/quick-start).
## Why Endee
- Built as a dedicated vector database for AI applications, search systems, and retrieval-heavy workloads.
- Supports dense vector retrieval plus sparse search capabilities for hybrid search use cases.
- Includes payload filtering for metadata-aware retrieval and application-specific query logic.
- Ships with operational features already documented in this repo, including backup flows and runtime observability.
- Offers flexible deployment paths: local scripts, manual builds, Docker images, and prebuilt registry images.
## Getting Started
The full installation, build, Docker, runtime, and authentication instructions are in [docs/getting-started.md](./docs/getting-started.md).
Fastest local path:
```bash
chmod +x ./install.sh ./run.sh
./install.sh --release --avx2
./run.sh
```
The server listens on port `8080`. For detailed setup paths, supported operating systems, CPU optimization flags, Docker usage, and authentication examples, use:
- [Getting Started](./docs/getting-started.md)
- [Hosted Quick Start Docs](https://docs.endee.io/quick-start)
## Use Cases
### RAG and AI Retrieval
Use Endee as the retrieval layer for question answering, chat assistants, copilots, and other RAG applications that need fast vector search with metadata-aware filtering.
### AExcerpt of 8,208 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6f90faca733975d1, topic:vector-database, topic:hnsw, desc:vector database