Elastic has launched Agent Builder, a powerful toolkit for developers to create secure, context-driven AI agents. This tool leverages Elasticsearch, facilitating effective context engineering by unifying data scaling, searching, and analysis. Featuring native data preparation, retrieval, ranking, and conversational capabilities, Agent Builder allows developers to build custom agents in minutes. Amanda Silver from Microsoft highlights its integration with Microsoft Foundry, enhancing AI’s context-rich capabilities. Complementing this, Elastic introduced Workflows (currently in tech preview), which adds reliability by enabling agents to automate actions across various systems, addressing AI’s challenges in rule-based management. This combination empowers teams to efficiently transform unstructured data into actionable insights. Ken Exner, CPO of Elastic, emphasizes the streamlined approach to managing enterprise data, essential for transitioning from pilot projects to real-world applications. With model-agnostic compatibility, Agent Builder is poised to revolutionize how organizations deploy AI agents at scale.
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