Benjamin Trent
Author

Benjamin Trent

Principal Developer I


Articles

Adding passage vector search to Lucene
Vector SearchLucene

Adding passage vector search to Lucene

Discover how we added passage vectors to Apache Lucene, the benefits of doing so, and how existing Lucene structures were used to create an efficient retrieval experience.

Benjamin Trent

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

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

Recent features bring significant performance gains to Elasticsearch and Lucene vector database.

Mayya Sharipova

Benjamin Trent

Jim Ferenczi

Scalar Quantization Optimized for Vector Databases
ML Research

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.

Thomas Veasey

Benjamin Trent

Int4: More Scalar Quantization in Lucene
LuceneML Research

Int4: More Scalar Quantization in Lucene

Optimizing scalar quantization in Lucene and adding int4 support.

Benjamin Trent

Thomas Veasey

Introducing kNN query, an expert way to do kNN search
Vector SearchHow To

Introducing kNN query, an expert way to do kNN search

How kNN query can be used and how it is different from top level kNN search

Mayya Sharipova

Benjamin Trent

Bringing Maximum-Inner-Product into Lucene
Lucene

Bringing Maximum-Inner-Product into Lucene

How we brought maximum-inner-product into Lucene

Benjamin Trent

Scalar quantization 101
LuceneML Research

Scalar quantization 101

What is scalar quantization and how does it work?

Benjamin Trent

Introducing Scalar Quantization in Lucene
LuceneML Research

Introducing Scalar Quantization in Lucene

How did we introduce scalar quantization into Lucene

Benjamin Trent