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MemoRAG is an open-source memory-based retrieval-augmented generation framework that leverages a long-memory model to recall query clues and deliver more accurate, context-rich responses across all-purpose applications. It features Lite mode for scalable memory-augmented RAG, supports memory models such as Meta-Llama-3.1-8B-Instruct and Llama3.1-8B-Chinese-Chat, and ships training scripts, datasets, demos, and documentation. The project aims to advance RAG through memory-inspired knowledge discovery, with its accompanying paper accepted by WebConf 2025.
AI named MemoRAG from February 2026 to March 2026.