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  • Elastic Agent Builder: Accelerate Custom AI Agent Development on Enterprise Data
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Elastic Agent Builder: Accelerate Custom AI Agent Development on Enterprise Data


Elastic Agent Builder: Accelerate Custom AI Agent Development on Enterprise Data
  • by: Source Logo
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  • October 22, 2025

Elastic, the Search AI Company, has unveiled Agent Builder, a comprehensive suite of capabilities built on Elasticsearch designed to simplify and speed up the development of custom AI agents using enterprise data. This new offering allows developers to build and deploy sophisticated agents in minutes, leveraging a natural, conversational approach to context engineering.

Quick Intel

  • Agent Builder is a new, complete set of tools from Elastic for building custom AI agents.

  • It leverages Elasticsearch to provide the essential data foundation and operational lifecycle management for agents.

  • The primary benefit is accelerating AI agent development directly on an organization's scattered data sources, ensuring speed and reliability.

  • It introduces a conversational approach to context engineering, which is critical for agent accuracy and governance.

  • Features include a native conversational agent to immediately chat with company data and built-in relevance tools.

  • Agent Builder is currently available in Technical Preview on Elastic Cloud (serverless) and will be in version 9.2 soon.

Agent Builder Simplifies Context Engineering

The effectiveness and reliability of modern AI agents, especially those handling complex, data-driven enterprise tasks, hinge on the accuracy of the context provided to them. In many organizations, this critical context is spread across various unstructured sources like emails, documents, and business applications. The process of feeding the right context to agents is called context engineering. While Elasticsearch has always been a key platform for this function, Agent Builder significantly expands this capability. It integrates the entire operational lifecycle—including development, configuration, execution, customization, and observability—natively into the Elasticsearch platform.

Ken Exner, chief product officer at Elastic, commented on the strategic importance of this development, stating:

"AI agents don’t just need lots of data, they need the right data and tools, with relevance, guardrails, and observability built in. Developers already rely on Elasticsearch to find the right answer from their messy business data. Agent Builder goes further by making Elasticsearch one of the fastest platforms to build precise AI agents that use your data, where retrieval, governance, and orchestration all operate in one place, natively.”

Enhancing Developer Control and Agent Precision

Agent Builder provides developers with advanced, built-in tools that move beyond basic queries of open-standard Model Context Protocol (MCP) endpoints. Users can now engage with data using natural language questions. The platform is designed to intelligently identify which indexes to query, understand the data's structure, and translate the natural language input into optimized queries—be they semantic, hybrid, or structured. This process ensures only the most relevant context is returned to the Large Language Model (LLM).

With Agent Builder, developers can immediately interact with their enterprise data and gain granular control over agent behavior:

  • Immediately Chat with Company Data: A native, built-in conversational agent allows users to interact with and ask questions of any data stored in Elasticsearch right out of the box, turning the data into an active partner for exploration and analysis.

  • Leverage Intelligent Built-In Tools for Relevance: The platform includes powerful search capabilities that automatically select the correct index and deliver highly relevant context to the LLM.

  • Build Powerful Custom Tools: Developers can define specialized tools that give the agent new skills, utilizing Elasticsearch's query language (ES|QL) to precisely control the data used for context. This ensures a high level of relevance, accuracy, and security for the agent's responses.

  • Define Custom Agents: The platform enables the creation of custom agents from scratch. Developers can configure the agent’s entire persona with a custom system prompt, select the specific tools it can access, and set its security profile.

  • Integrate with MCP and A2A Safely: External agents and applications can be connected via MCP and A2A, with governance maintained through the Elasticsearch execution layer.

About Elastic

Elastic, the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500.

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