Discover how Solutions Engineers can build a Retrieval-Augmented Generation (RAG) chatbot using Amazon Bedrock. This session provides a step-by-step walkthrough, from setting up S3 buckets and Knowledge Bases to integrating LLMs like Claude or Titan for accurate, context-aware responses. Explore real-world applications, including how Syngenta leverages RAG with Bedrock Agents in Cropwise AI to empower sales reps with seed recommendations, accelerating decisions and enhancing agricultural outcomes. Attendees will gain practical insights into implementing secure, scalable AI solutions that blend business needs with cloud architecture.

Solutions engineers, cloud architects, and AI developers. Preferred session duration: 45 minutes. Includes interactive demos if venue supports; intermediate level with AWS familiarity. Suitable for conferences like AWS re:Invent Europe or AI Summit. No special technical requirements; Q&A encouraged.