# refrag

> 🚀 Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.

- **URL**: https://www.freshcrate.ai/projects/refrag
- **Author**: DIMANANDEZ
- **Category**: MCP Servers
- **Latest version**: `main@2026-06-07` (2026-06-07)
- **License**: MIT
- **Source**: https://github.com/DIMANANDEZ/refrag
- **Homepage**: https://dimanandez.github.io
- **Language**: Python
- **GitHub**: 2 stars, 1 forks
- **Registry**: github
- **Tags**: `ai`, `ai-agents`, `codex`, `context`, `cursor`, `decoder`, `embeddings`, `glm`, `mcp-server`, `python`

## Description

🚀 Enhance retrieval with REFRAG, using micro-chunking and fast indexing for optimized RAG systems that improve efficiency and effectiveness.

## Recent releases

| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `main@2026-06-07` | 2026-06-07 | High | Latest activity on main branch |
| `0.0.0` | 2026-04-09 | High | No release found — using repo HEAD |

## Citation

- HTML: https://www.freshcrate.ai/projects/refrag
- Markdown: https://www.freshcrate.ai/projects/refrag.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/refrag/deps

_Generated by freshcrate.ai. Indexes github releases for AI-agent ecosystem packages._