Vectorize’s integration with the Elasticsearch vector database allows AI engineers to quickly create a reliable RAG pipeline and focus on building applications instead of spending time on preprocessing and determining the best vectorization strategy.

Elastic joins a select group of vendors that has achieved AWS’s new Generative AI Partner Competency. It highlights Elastic’s deep technical expertise with generative AI in AWS and proven customer success securing the cloud journey for organizations.

Elasticsearch and Kibana 8.12 deliver the fastest release of Apache Lucene ever, with key innovations built to serve customer use cases. Search developers can utilize and manage ML embeddings with multi-vendor configurations with just one API call.

Workplace Search functionality will merge with Elastic Search in the future. Here’s what you need to know.

Learn about how Elasticsearch and LangChain have collaborated on production-ready RAG templates.

Elasticsearch Relevance Engine is a set of tools for developers to build AI-powered search applications. Relativity, the eDiscovery and legal search tech company, is building next-generation search experience with Elastic and Microsoft Azure Open AI.

Enterprise Search 8.7 improves content ingestion. The MySQL connector adds advanced filtering capabilities, Web Crawler adds custom content extraction, and the connector library adds Postgres, Oracle, MS SQL, and cloud blob storage on GCP and Azure.

Elastic Enterprise Search 8.6 brings new connectors and tools to reduce the time to relevant search results for content on file systems, network drives, MongoDB, and Amazon S3.