GH Repository · HKUDS
MiniRAG
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
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pythondockerPythonretrieval-augmented-generationraglarge-language-models
MiniRAG is a Python-based retrieval-augmented generation framework from HKUDS, published as an ACL 2026 paper under the title 'Making RAG Simpler with Small and Open-Sourced Language Models'. It ships as a repository with Docker and Python toolchain support and an MIT licence.
Reach for it when you want to run RAG with small, open-sourced language models rather than large proprietary ones.
Use it to
- Run RAG pipelines on small open-source models
- Deploy a RAG setup via the provided Docker toolchain
- Study the ACL 2026 MiniRAG approach
- Extend an MIT-licensed RAG codebase
For Developers and researchers building RAG with small models
- Role
- rag
- Language
- Python
- Licence
- MIT
- Forks
- 257
- Open issues
- 29
- Last push
- 2025-10-16
- Latest release
- v0.0.1 · 2025-01-16
topicsragretrieval-augmented-generationlarge-language-modelspythondocker