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Learn to build sophisticated AI agents using context engineering techniques in this AWS re:Invent 2025 conference session. Discover how to leverage Elasticsearch, Amazon Bedrock AgentCore, and Tavily for external content retrieval to create agents that deliver more relevant results using proprietary data within existing workflows. Explore the vector database capabilities that power these tools, including semantic search, hybrid search, and ES|QL features native to open source Elasticsearch. Master best practices for agent prompt design, learn methods for evaluating agent performance, and understand how to create an intelligent query layer exposed through MCP (Model Context Protocol). Gain practical insights into implementing agentic AI solutions that securely integrate with users' familiar workflows while maintaining data privacy and security. This technical presentation, delivered by AWS Partner Elastic, provides developers with the knowledge needed to accelerate AI agent development and improve the relevance of AI-powered search and retrieval systems.
