WEbinar

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

November 4, 2025

9:00 AM - 10:30 AM PT

Virtual

Speakers

David Hrncir

Senior Partner Sales Engineering
,
Fivetran

Luis Leon

Partner Solution Architect
,
dbt Labs
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

Luis Leon

Partner Solution Architect
,
dbt Labs
SPEAKERS

David Hrncir

Senior Partner Sales Engineering
,
Fivetran

Luis Leon

Partner Solution Architect
,
dbt Labs
Presented by
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.