Solutions

Discover the differences, strengths, and applications of aNN and kNN in vector search. Unravel the accuracy of kNN and the speed of aNN. Explore Elastic's vector search capabilities.

IBM partners with Elasticsearch to deliver retrieval augmented generation (RAG) capabilities that can be seamlessly integrated into the IBM watsonx Assistant’s new Conversational Search feature.

Explore advanced strategies for AI applications in retrieval augmented generation (RAG). Learn from experts on enhancing LLMs with effective data integration techniques.

Elastic 8.15 includes enhancements in semantic search, new OTel collector distribution, AI-driven SIEM data onboarding, LLM integrations, additions to cross-cluster search (CCS), and more functionality within the Elasticsearch Query Language (ES|QL).

Elastic Search 8.15 introduces the semantic_text field and semantic reranking. The Elastic open inference API enables more third-party model providers. Learning to rank and query rules are now GA.

Elastic Cloud Serverless is the easiest way to ramp up your capabilities in search, observability, and security across AWS.

This series gives you an inside look at how we're using generative AI in Elastic customer support. Join us as we share our journey in real time!

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.

Elastic 8.14 includes the GA of ES|QL, an innovative and streamlined way to analyze data in Elasticsearch, improvements in vector search, new generative AI Attack Discovery security capabilities, and more.