Blogs
Entwickler-Einblicke und praktische Anleitungen von unseren Experten, um Ihr Sucherlebnis zu inspirieren und zu verbessern
Save space with byte-sized vectors
Elasticsearch is introducing a new type of vector that has 8-bit integer dimensions. This is 4x smaller than the current vector with 32-bit float dimensions, which can result in substantial space savings.
Text similarity search with vector fields
This post explores how text embeddings and Elasticsearch’s new dense_vector type could be used to support similarity search.
Stateless — your new state of find with Elasticsearch
Learn about Elasticsearch stateless and explore the stateless architecture, which brings performance improvements and reduces costs.
Aggregate data faster with new the random_sampler aggregation
Aggregate billions of documents in milliseconds instead of minutes with Elastic. Learn more about how the new random_sampler aggregation gives you statistically robust results at a lower cost.
Implementing academic papers: Lessons learned from Elasticsearch and Lucene
Discover strategies for incorporating research papers in a software application, drawing our experiences with Elasticsearch and Lucene.