Category: Lucene

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Lucene Wrapped 2024

2024 has been another major year for Apache Lucene. In this blog, we’ll explore the key highlights.

Chris Hegarty

Lucene bug adventures: Fixing a corrupted index exception

Sometimes, a single line of code takes days to write. Here, we get a glimpse of an engineer's pain and debugging over multiple days to fix a potential Apache Lucene index corruption.

Benjamin Trent

Smokin' fast BBQ with hardware accelerated SIMD instructions

How we optimized vector comparisons in BBQ with hardware accelerated SIMD (Single Instruction Multiple Data) instructions.

Chris Hegarty

Better Binary Quantization (BBQ) vs. Product Quantization

Why we chose to spend time working on Better Binary Quantization (BBQ) instead of product quantization in Lucene and Elasticsearch.

Benjamin Trent

Better Binary Quantization (BBQ) in Lucene and Elasticsearch

How Better Binary Quantization (BBQ) works in Lucene and Elasticsearch.

Benjamin Trent

RaBitQ binary quantization 101

Understand the most critical components of RaBitQ binary quantization, how it works and its benefits. This guide also covers the math behind the quantization and examples.

John Wagster

Apache Lucene 10 is out! Improvements to Lucene's hardware efficiency & more

Apache Lucene 10 has been released, with a focus on hardware efficiency! Check out the main release highlights.

Adrien Grand

Elasticsearch vs. OpenSearch: Vector Search Performance Comparison

Elasticsearch is out-of-the-box 2x–12x faster than OpenSearch for vector search

Ugo Sangiorgi

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.

Benjamin Trent

Making Lucene faster with vectorization and FFI/madvise

Discover how modern Java features, including vectorization and FFI/madvise, are speeding up Lucene's performance.

Chris Hegarty

Speeding up multi-graph vector search

Explore multi-graph vector search in Lucene and discover how sharing information between segment searches enhances search speed.

Mayya Sharipova

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.

Chris Hegarty