저자 소개
Jim Ferenczi is an Elasticsearch Engineer and a Lucene committer at The Apache Software Foundation. Before joining Elastic, Jim worked for Exalead on web search and for Rakuten on e-commerce search.
작성자의 글
2026년 2월 4일
Speed up vector ingestion using Base64-encoded strings
Introducing Base64-encoded strings to speed up vector ingestion in Elasticsearch.
2025년 8월 26일
Lighter by default: Excluding vectors from source
Elasticsearch now excludes vectors from source by default, saving space and improving performance while keeping vectors accessible when needed.
2024년 6월 12일
Designing for large scale vector search with Elasticsearch
Explore the cost, performance and benchmarking for running large-scale vector search in Elasticsearch, with a focus on high-fidelity dense vector search.
2024년 4월 26일
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.