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LEANN is a graph-based vector database that enables efficient RAG (Retrieval-Augmented Generation) on personal devices with 97% storage savings. It uses selective recomputation to compute embeddings on-demand rather than storing them, enabling semantic search across millions of documents while maintaining 100% privacy and offline-first operation.
