Generative AI
Stay informed about the latest trends in the fast-moving AI landscape, and learn how to use Elastic to build better AI-powered applications.
An independent IDC study found organizations deploying the Elasticsearch Platform for enterprise search and agentic AI deliver AI products faster, drive higher revenue, boost productivity, and strengthen operational resilience across the business.
From retrieval to agents: 5 takeaways on production architecture for AI agents
As enterprises transition from search-driven experiences to agentic AI, requirements are shifting. Learn how context engineering and retrieval layers are now more critical for building trustworthy, production-ready AI agents.
More on Generative AI
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From M-21-31 to M-26-14: What US government agencies need to know now
M-26-14 sets a new compliance baseline for cybersecurity logging, shifting to a risk-based, outcome-driven approach. Agencies operating with distributed, open, and AI-powered platforms like Elastic are better positioned to meet the requirements.
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From noise to knowledge: How GenAI is revolutionizing log management and analytics
Logs have returned to center stage for observability with new insights and information for your SRE team. Driving efficiency in your day to day operations is possible with GenAI applied to the richest telemetry signal available: your logs.

Beyond debugging: How GenAI can turn logs into business intelligence
Logs have returned to center stage for observability with new capabilities given the emergence of generative AI. Find out how GenAI and logs can provide visibility and insights to manage your operations and improve business outcomes.


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