
Faster vector search in Elasticsearch with SIMD (deep dive into the new engine)
Hey folks,
I’ve been working on improving vector search performance in Elasticsearch and wanted to share a deep dive into a new SIMD-accelerated vector search engine we’ve been building.
We focus on:
- How SIMD is used to speed up vector similarity computations
- What changes were made under the hood in Elasticsearch
- Real performance gains and tradeoffs
- When this approach actually helps (and when it doesn’t)
If you're working with kNN, embeddings, or large-scale retrieval systems, this might be useful.
Would love feedback from anyone running vector search in production — especially around bottlenecks or tuning challenges.
Blog post:
https://www.elastic.co/search-labs/blog/elasticsearch-vector-search-simdvec-engine
u/chegar999 — 10 days ago