Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Retrieval of originating information in multi-vector documents
Learn about multi-vector documents in Elasticsearch, their use cases, and how to link original context to a multi-vector document.
How to detect which index template Elasticsearch will use before an index creation
Learn about Elasticsearch index templates and how to detect which index template Elasticsearch will use before creating the index itself.
RAG & RBAC integration: Protect data and boost AI capabilities
Discover how Retrieval Augmented Generation (RAG) & Role-Based Access Control (RBAC) integrate to protect data and boost AI capabilities.
Red Hat & Elastic: Red Hat OpenShift AI integration with Elasticsearch
Red Hat OpenShift users can now implement Elasticsearch for vector search & RAG applications via the Red Hat Ecosystem Catalog. Explore this integration here.
Evaluating scalar quantization in Elasticsearch
Learn how scalar quantization can be used to reduce the memory footprint of vector embeddings in Elasticsearch through an experiment.
ES|QL queries to Java objects
Learn how to perform ES|QL queries with the Java client. Follow this guide for step-by-step instructions, including examples.
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.
Scalar quantization optimized for vector databases
Optimizing scalar quantization for the vector database use case allows us to achieve significantly better performance for the same retrieval quality at high compression ratios.
Understanding Int4 scalar quantization in Lucene
This blog explains how int4 quantization works in Lucene, how it lines up, and the benefits of using int4 quantization.
Elastic Cloud adds Elasticsearch Vector Database optimized instance to Google Cloud
Elasticsearch's vector search optimized profile for GCP is available. Learn more about it and how to use it in this blog.
Simplifying kNN search
Elastic's kNN search has evolved. This blog explains the simplification of kNN search, where k and num_candidates are now optional.
