Generative AI

The partnership between Elastic as a vector database and Red Hat OpenShift AI offers a compelling solution for public sector organizations looking to implement AI and ML in their environments.

The explosive growth of AI technology adds complexity in choosing production-ready tools. Elastic’s AI Ecosystem empowers developers with Elasticsearch vector database integrations and enables tech providers to accelerate innovation.

Elastic Security now supports custom knowledge sources for the Elastic AI Assistant, enabling tailored responses from private data like incident response playbooks, hunting queries, historical incident data, and threat intelligence reports.

Patently uses solutions to transform how inventors, IP professionals, legal teams, and executives think about patents. With features like AI and NLP, Patently offers integrated tools for collaboration when searching, evaluating, and drafting patents.

AI-driven security analytics improves your security team’s ability to respond to incidents much faster and maintain a more robust defense posture. In this blog, we’ll explore the essentials of AI-driven security analytics.

The White House's landmark Memorandum on AI represents a crucial step toward aligning AI innovation with national security goals while ensuring that these advancements uphold democratic principles and human rights.

Generative AI has already delivered efficiency gains and promises impressive use cases, but IT leaders need it to deliver sustainable value. Discover three ways Elastic’s CIO integrates GenAI strategy into our overall business strategy to drive ROI.

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.

Modern search systems have made great leaps in the accuracy, relevancy, and usefulness of results by leveraging AI-based capabilities. Now, generative AI is changing how forward-looking organizations approach search and knowledge management.