"Elastic is launching Agent Builder, a toolset that enables developers to build secure and reliable AI agents in minutes. The platform combines context engineering with built-in tools for data preparation, ranking, and conversational experiences. AI agents need the right context to perform complex tasks accurately. Built on Elasticsearch, Agent Builder delivers relevant insights through a unified platform that can search and analyze enterprise data at scale. Developers can use the toolset to chat with their data or build a context-driven custom agent in minutes."
"In addition to Agent Builder, Elastic is also introducing Workflows in tech preview. This new capability enables agents to reliably perform actions across different systems. Many frameworks require Large Language Models to plan and control every step of automation. However, AI lacks the reliability of rule-based actions. Workflows bridges this gap. Agents can use it to orchestrate internal and external systems, perform actions, and accurately collect and transform data."
Agent Builder combines context engineering with native tools for data preparation, ranking, and conversational experiences to enable fast development of secure, reliable AI agents. The platform leverages Elasticsearch to search and analyze enterprise data at scale, delivering relevant insights and supporting conversational access or creation of context-driven custom agents. Agent Builder includes native support for Model Context Protocol and Agent-to-Agent and integrates with Microsoft Foundry and the Microsoft Agent Framework. Workflows, offered in tech preview, allows agents to orchestrate internal and external systems, perform actions, and accurately collect and transform data, improving reliability over LLM-only automation. Agents remain model-agnostic and compatible with managed model-as-a-service providers.
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