16.07, Webinar Securing AI Agents: where threats hide in agentic systems
Webinar

Amazon Bedrock Knowledge Bases

Together with AWS, we explored how to build RAG platforms on AWS in 2025. Our expert explained how to enhance AI models with enterprise data using Amazon Bedrock and discussed real-world RAG applications.

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Agenda

  1. A short introduction to generative AI
  2. Intro to retrieval-augmented generation
  3. Amazon Bedrock overview
  4. Lessons learned after production deployment

Key topics

  • what are GenAI, LLMs, and “traditional” AI;
  • what is RAG and why is it crucial;
  • how Amazon Bedrock works in practice;
  • how to create RAG-powered backends;
  • practical insights from production applications built with Amazon Bedrock.

Speaker

Kacper Włodarczyk

Kacper Włodarczyk AWS Community Builder

Cloud Data Engineer

Cloud Data Engineer in Chaos Gears’ Data & AI team. He specializes in machine-learning solutions on AWS — especially those related to GenAI.

Even though he considers himself an AI Engineer, he often fills multiple roles — from software engineering, through data science to cloud architecture. In his time off, he enjoys outdoor activities with his labrador.

Amazon Bedrock

Amazon Bedrock

The platform for secure and private agentic AI services

Enter the world of generative AI with Amazon Bedrock — a fully managed service offering top of the line foundation models, such as Anthropic's Claude and OpenAI's GPT.

Thanks to its serverless design, Amazon Bedrock eliminates the complexity of running AI at scale, and lets you seamlessly integrate agentic AI into your applications using familiar AWS services — whether it's your first steps with AI, or you are already revolutionizing the market.

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