Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB
UC Berkeley’s LEANN vector index stores a pruned graph and recomputes embeddings at query time. It matches HNSW accuracy at 90% recall using 4 GB instead of 188 GB, at the cost of seconds-level search.
In brief
- What: Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB
- When: October 28, 2026 at 00:54
- Source: MarkTechPost (media)
- Topic: Products
Prepared by Ilya Tarasov’s Tarasov Code newsroom based on a report by MarkTechPost.
