May 28, 2025
Hybrid search revisited: introducing the linear retriever!
Discover how the linear retriever enhances hybrid search by leveraging weighted scores and MinMax normalization for more precise and consistent rankings. Learn how to configure this new tool for optimized search pipelines and improve your results today.


May 26, 2025
Creating Judgement Lists with Quepid
Creating judgement lists in Quepid with a collaborative human rater process.

May 20, 2025
Cracking the code on search quality: The role of judgment lists
Explore why a judgment list is essential, the different types of judgments, and the key factors that define search quality.

April 16, 2025
ES|QL, you know, for Search - Introducing scoring and semantic search
With Elasticsearch 8.18 and 9.0, ES|QL comes with support for scoring, semantic search and more configuration options for the match function and a new KQL function.

April 11, 2025
Enhancing relevance with sparse vectors
Learn how to use sparse vectors in Elasticsearch to boost relevance and personalize search results with minimal complexity.

April 3, 2025
Generating filters and facets using ML
Exploring the pros and cons of automating the creation of filters and facets in a search experience using ML models vs the classical hard-coded approach.

March 27, 2025
How to automate synonyms and upload using our Synonyms API
Discover how LLMs can be used to identify and generate synonyms automatically, allowing terms to be programmatically loaded into the Elasticsearch synonym API.

March 20, 2025
Scaling late interaction models in Elasticsearch - part 2
This article explores techniques for making late interaction vectors ready for large-scale production workloads, such as reducing disk space usage and improving computation efficiency.

March 18, 2025
Searching complex documents with ColPali - part 1
The article introduces the ColPali model, a late-interaction model that simplifies the process of searching complex documents with images and tables, and discusses its implementation in Elasticsearch.