"Elastic introduces Agent Builder, a toolset that allows developers to build custom AI agents on their own business data in minutes. The solution combines conversational context engineering with built-in tools for relevance and governance. The reliability of AI agents depends on providing the right context at the right time. With business information spread across documents, emails, applications, and customer feedback, this is a challenge for many organizations."
"The built-in conversational agent lets you interact directly with all Elasticsearch data. Intelligent tooling automatically selects the right index, understands the data structure, and translates natural language into optimized queries, whether semantic, hybrid, or structured. Customization and secure integration Developers can build custom tools with the Elasticsearch query language ES|QL. This allows you to determine exactly which data is used for context and gives you detailed control over relevance, accuracy, and security."
"You can define fully customized agents with a custom system instruction. You also decide which tools the agent has access to and configure a specific security profile. External agents and applications can be securely connected via MCP and A2A, while governance is maintained through the Elasticsearch layer. This enables the effective deployment of AI agents without losing control. Agent Builder is available immediately as a Technical Preview on Elastic Cloud in serverless mode. Version 9.2 will soon bring this functionality to more platforms."
Agent Builder is a toolset that lets developers build custom AI agents on business data. The solution combines context engineering with built-in tools for relevance and governance. The Model Context Protocol enables natural-language queries, index selection, search configuration, and agent parameter definition. The conversational agent interacts directly with Elasticsearch data and automatically selects indexes, understands data structure, and translates natural language into semantic, hybrid, or structured queries. Developers can build custom tools with ES|QL to control which data is used for context and to manage relevance, accuracy, and security. External agents connect via MCP and A2A while governance is enforced through the Elasticsearch layer. Agent Builder is available as a Technical Preview on Elastic Cloud serverless, with wider platform support planned in version 9.2.
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