Solutions
Learn more about Elastic enterprise search, observability, and security solutions, built on a single, flexible technology stack that can be deployed anywhere.
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Elastic Search 8.14: Faster and more cost-effective vector search, improved relevance with retrievers and reranking, RAG and developer tooling
With Elastic Search 8.14, vector search is faster and more cost-effective. Key components for semantic and contextual searches are now seamlessly integrated into Elasticsearch APIs. We introduce more robust tooling enhancements.
More on Elastic Search
Elasticsearch accelerates building AI search apps on serverless
This fully managed deployment option uses Elastic's Search AI Lake and is optimized for RAG and GAI workloads. Developers can start new Elasticsearch projects fast and explore new AI search capabilities without managing upgrades or infrastructure.
Announcing Search AI Lake and Elastic Cloud Serverless to scale low latency search
Explore Search AI Lake and Elastic Cloud Serverless — a cloud native architecture for real-time applications. Enjoy extensive storage, fast querying, and robust search and AI relevance capabilities. Start quickly and scale seamlessly with serverless.
Elastic Search 8.13: Simplifying embedding and ranking for developers
Elastic Search 8.13 delivers speed improvements for vector search with Apache Lucene 9.10. LTR brings the power of reranking. Bringing in data through connectors is now simpler with improved synchronization options and an expanded connector catalog.
Using Elastic as a global data mesh: Unify data access with security, governance, and policy
The Elastic search analytics platform can be used as a global data mesh. Learn more about what a data mesh is, how it's different from a data fabric, and key differentiators that uniquely position Elastic as a strategic data mesh layer.