# Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB

> Source: <https://www.marktechpost.com/2026/10/27/leann-vector-index-mlsys-2026/>
> Published: 2026-10-27 21:54:37+00:00

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.

The post [Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB](https://www.marktechpost.com/2026/10/27/leann-vector-index-mlsys-2026/) appeared first on [MarkTechPost](https://www.marktechpost.com).