저자 소개
John Wagster is a software engineer at Elastic, where he works on improving Elasticsearch.
작성자의 글
2026년 4월 27일
Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector
Modern quantization techniques can hurt recall when using older models or embeddings that aren’t normally distributed. Learn how preconditioning fixes these vectors through random orthogonal projection, making BBQ more effective and recovering recall.
2025년 10월 23일
Low-memory benchmarking in DiskBBQ and HNSW BBQ
Benchmarking Elasticsearch latency, indexing speed, and memory usage for DiskBBQ and HNSW BBQ in low-memory environments.
2025년 10월 23일
Introducing a new vector storage format: DiskBBQ
Introducing DiskBBQ, an alternative to HNSW, and exploring when and why to use it.
2024년 10월 22일
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.