WEbinar

Supercharge Customer Support with GenAI: Building a RAG-Powered Chatbot using dbt Cloud, Fivetran, and AWS

November 4, 2025

9:00 AM - 10:30 AM PT

Virtual

Speakers

David Hrncir

Senior Partner Sales Engineering
,
Fivetran
Presented by
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Webinar Details

As customer expectations rise, businesses are turning to AI to deliver responsive, intelligent support experiences at scale. Join Fivetran, dbt Labs, and AWS for a hands-on exploration into how to build a Generative AI-powered customer support chatbot using Retrieval-Augmented Generation (RAG) — powered by clean, governed data from your modern data stack and orchestrated through agentic workflows that drive autonomous, multi-step reasoning.

In this session, you'll learn how to seamlessly combine:

  • Fivetran for automated data pipelines to centralize customer support and knowledge base data.
  • dbt Cloud for transforming raw data into structured, trusted knowledge that enhances RAG performance.
  • AWS services such as Amazon S3 to enable scalable AI infrastructure and document retrieval.
KEY INSIGHTS + TAKEAWAYS:

SPEAKERS

David Hrncir

Senior Partner Sales Engineering
,
Fivetran
SPEAKERS

David Hrncir

Senior Partner Sales Engineering
,
Fivetran
Presented by
No items found.
Webinar Details

As customer expectations rise, businesses are turning to AI to deliver responsive, intelligent support experiences at scale. Join Fivetran, dbt Labs, and AWS for a hands-on exploration into how to build a Generative AI-powered customer support chatbot using Retrieval-Augmented Generation (RAG) — powered by clean, governed data from your modern data stack and orchestrated through agentic workflows that drive autonomous, multi-step reasoning.

In this session, you'll learn how to seamlessly combine:

  • Fivetran for automated data pipelines to centralize customer support and knowledge base data.
  • dbt Cloud for transforming raw data into structured, trusted knowledge that enhances RAG performance.
  • AWS services such as Amazon S3 to enable scalable AI infrastructure and document retrieval.