Скачать или смотреть AWS re:Invent 2025 - Context engineering and building better agents (AIM345)

Agentic AI is here. Successful implementation typically returns relevant results using proprietary data securely built into the user’s existing, familiar workflow. This session will cover how developers can use Elasticsearch, Amazon Bedrock AgentCore, and Tavily for external content retrieval, to accelerate the creation of AI agents. These agents provide more relevant results using context engineering capabilities native to open source Elasticsearch such as semantic search, hybrid search, and ES|QL. We’ll review the underlying vector database capabilities that power these tools, recommend best practices for agent prompt design, evaluate agent performance, and create an intelligent query layer exposed through MCP. This presentation is brought to you by Elastic, an AWS Partner.

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