Generative AI

AI is monumental in helping elevate the skills and operational efficiency of cybersecurity professionals. But it's also showing great potential to help with another familiar, unfortunate trend among practitioners: burnout.

Google Vertex AI works with Elastic AI Assistant and Attack Discovery features to provide security analysts with more choices for sophisticated LLMs and allows Google Cloud customers to select models that are native to their cloud ecosystem.

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.

AI can offer significant opportunity to automate tedious tasks and free up time for public sector organisations around the world to focus on more strategic, impactful initiatives to serve the public.

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

Elastic Security 8.15 introduces Automatic Import, support for Gemini 1.5 Pro/Flash Models, on-demand scanning for the Elastic Defend integration, a full set of APIs for the Elastic AI Assistant, and a redesigned context pivot in the details flyout.

Introducing Elastic Observability 8.15: Elastic Distribution for OTel Collector, native OTLP profiling, AI Assistant support for Google Vertex (Gemini 1.5 Pro model), LLM observability for Azure OpenAI, and logs data set quality improvements.

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.