HiRAG implements a hierarchical knowledge indexing and retrieval approach for RAG systems. It builds a graph-based knowledge base with hierarchical organization, enabling more efficient and contextually relevant retrieval during inference. The system integrates with various LLM backends (DeepSeek, ChatGLM, OpenAI) and provides embedding-based retrieval with support for both naive and hierarchical search modes.