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Morning Brief · October 28th 2026
LEANN shrinks a 60-million-chunk search index from 201 GB to 6 GB
LEANN, an open-source from UC Berkeley's Sky Computing Lab that won best paper at MLSys 2026, stores a minimal graph and recomputes at query time. On a 60-million-chunk Wikipedia index it cuts storage from 201 GB to 6 GB. The repository, under the , has about 13,600 stars.
The trade is time: MarkTechPost reports some queries taking up to 44.8 seconds on an M1 Ultra Mac. That is fine for searching your own files privately and too slow for a live product. SourcesAC
Sources
- AStarTrail-org/LEANN (GitHub)github.com
- CMeet LEANN (MarkTechPost)marktechpost.com
This story ran in the Morning Brief of October 28th 2026.