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UC Berkeley's Sky Computing Lab launched LEANN, an open-source vector index that shrinks a 60M-chunk RAG index from 201 GB to 6 GB. The research paper won the Best Research Paper award at MLSys 2026, enabling semantic search on laptops by recomputing embeddings at query time instead of storing them.
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