BT

Benjamin Trent

Principal Developer II

About the author

Benjamin Trent is a Lucene committer and member of the project management committee at The Apache Software Foundation and a software engineer at Elastic, where he works on improving Elasticsearch.

Author’s articles

Looking back: A timeline of vector search innovations

Looking back: A timeline of vector search innovations

Looking back at Elastic's vector search innovations in Elasticsearch and Lucene

Bit vectors in Elasticsearch

July 17, 2024

Bit vectors in Elasticsearch

Discover what are bit vectors, their practical implications and how to use them in Elasticsearch.

Making Elasticsearch and Lucene the best vector database: up to 8x faster and 32x efficient

Making Elasticsearch and Lucene the best vector database: up to 8x faster and 32x efficient

Discover the recent enhancements and optimizations that notably improve vector search performance in Elasticsearch & Lucene vector database.

Understanding Int4 scalar quantization in Lucene

April 25, 2024

Understanding Int4 scalar quantization in Lucene

This blog explains how int4 quantization works in Lucene, how it lines up, and the benefits of using int4 quantization.

Scalar quantization optimized for vector databases

April 25, 2024

Scalar quantization optimized for vector databases

Optimizing scalar quantization for the vector database use case allows us to achieve significantly better performance for the same retrieval quality at high compression ratios.

Introducing kNN Query: An expert way to do kNN search

December 7, 2023

Introducing kNN Query: An expert way to do kNN search

Explore how the kNN query in Elasticsearch can be used and how it differs from top-level kNN search, including examples.

Understanding scalar quantization in Lucene

November 11, 2023

Understanding scalar quantization in Lucene

Explore how Elastic introduced scalar quantization into Lucene, including automatic byte quantization, quantization per segment & performance insights.

Scalar quantization 101

October 25, 2023

Scalar quantization 101

Understand what scalar quantization is, how it works and its benefits. This guide also covers the math behind quantization and examples.

Bringing maximum-inner-product into Lucene

September 1, 2023

Bringing maximum-inner-product into Lucene

Explore how we brought maximum-inner-product into Lucene and the investigations undertaken to ensure its support.

Ready to build state of the art search experiences?

Sufficiently advanced search isn’t achieved with the efforts of one. Elasticsearch is powered by data scientists, ML ops, engineers, and many more who are just as passionate about search as your are. Let’s connect and work together to build the magical search experience that will get you the results you want.

Try it yourself