MiniRAG is an open-source retrieval-augmented generation framework optimized for small language models. It employs heterogeneous graph indexing and lightweight topology-enhanced retrieval to simplify RAG implementation while maintaining performance. The project originates from Hong Kong University (HKUDS) research group and supports both API and Docker deployment.