Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Train, evaluate, monitor, infer: End-to-end machine learning in Elastic
To use machine learning in the Elastic Stack, all you need is for your data to be stored in Elasticsearch. Learn how to extract valuable insights from your data with a few clicks and build a fully operational end-to-end machine learning pipeline.
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.
