Elasticsearch: The context engine for grounding and orchestration in Microsoft Azure AI Foundry Agent Service

This article details the integration of Elasticsearch with Microsoft Azure AI Foundry Agent Service to enhance the accuracy and trustworthiness of AI agents. By leveraging Elasticsearch as a knowledge base, agents can ground their responses in verified enterprise data instead of relying on generic LLM training, ensuring more reliable and relevant outcomes. The integration occurs through two key methods: MCP for simple data retrieval (RAG) and A2A protocol for complex, collaborative workflows between Elastic and Microsoft agents.