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

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/meet-leann-an-open-source-vector-index-that-shrinks-a-60m-chunk-rag-index-from-201
> **Original Source**: [MarkTechPost](https://www.marktechpost.com/2026/10/27/leann-vector-index-mlsys-2026/)
> **Author**: Asif Razzaq (undefined)
> **Published Date**: Tuesday, October 27, 2026
> **Category**: RESEARCH
> **Tags**: AI, MarkTechPost, research

## Executive Summary
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



## Full Coverage
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

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