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[Reddit Gaming Hot Post] How We Built a Scalable GenAI Chatbot for Higher Education Using AWS Bedrock (Case Study Inside!)

We recently partnered with a higher education institution to build a high-performance GenAI chatbot that handles student queries efficiently while ensuring security, scalability, and cost-effectiveness.

Key Highlights:

  • Upgraded to Claude/Sonnet via AWS Bedrock + LiteLLM : Improved response speed & cost-efficiency without sacrificing output quality.
  • Deployed AWS Web Crawler for Real-Time Data : Fetches updated university website data to ensure accurate, current responses.
  • Automated Crawls with AWS Lambda Triggers : Scheduled periodic data refreshes for consistency (zero manual effort).
  • Serverless AWS Infrastructure : Handled traffic spikes seamlessly + reduced operational overhead.

Full case study here: Building a GenAI Chatbot for Higher Education with AWS Bedrock

Questions for discussion:

  • What’s your biggest challenge when deploying AI chatbots in regulated sectors (like education)?
  • How are you leveraging RAG or semantic caching in your projects?
  • Would love feedback on our approach!

(Sharing this here because I think the community might find the AWS Bedrock + cost optimization insights useful!)



Submitted July 17, 2025 at 10:05PM by Antique-Dig6526 https://ift.tt/NvIKYbq
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