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.
Making Lucene faster with vectorization and FFI/madvise
Discover how modern Java features, including vectorization and FFI/madvise, are speeding up Lucene's performance.
Speeding up multi-graph vector search
Explore multi-graph vector search in Lucene and discover how sharing information between segment searches enhances search speed.
Optimizing vector distance computations with the Foreign Function & Memory (FFM) API
Learn how to optimize vector distance computations using the Foreign Function & Memory (FFM) API to achieve faster performance.
What happened in Lucene land in 2023?
2023 has been another big year for Apache Lucene, this blog reviews major milestones of 2023
Apache Lucene 9.9, the fastest Lucene release ever
Lucene 9.9 brings major speedups to query evaluation. Here are the performance improvements observed in nightly benchmarks & optimization resources.
MAXSCORE & block-max MAXSCORE: More skipping with block-max MAXSCORE
Learn about MAXSCORE, block-max MAXSCORE & WAND. Improve the MAXSCORE algorithm to evaluate disjunctive queries more like a conjunctive query.
Understanding fused multiply-add (FMA) within vector similarity computations in Lucene
Learn how to use fused multiply-add (FMA) within vector similarity computations in Lucene and discover how FMA can improve performance.
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
Understand what scalar quantization is, how it works and its benefits. This guide also covers the math behind quantization and examples.
Less merging and faster ingestion in Elasticsearch 8.11
Discover how Elasticsearch 8.11 improved its indexing buffer, resulting in less segment merging and faster ingestion.
Bringing maximum-inner-product into Lucene
Explore how we brought maximum-inner-product into Lucene and the investigations undertaken to ensure its support.