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MemoRAG – Enhance RAG with memory-based knowledge discovery for long contexts
Empowering RAG with a memory-based data interface for all-purpose applications! - qhjqhj00/MemoRAG
Unlike standard RAG, which primarily handles queries with explicit information needs, MemoRAG leverages its memory model to achieve a global understanding of the entire database. By recalling query-specific clues from memory, MemoRAG enhances evidence retrieval, resulting in more accurate and contextually rich response generation. Note: The recent goals of MemoRAG are to achieve light-weight optimization through engineering improvements and to enhance its memory capabilities, enabling it to adapt to a wider range of applications and support longer context(e.g., more than one million tokens).
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