Build & Debug Your First Enterprise RAG Pipeline - Using the TRUST Framework

Generative AI and RAG are changing enterprise knowledge systems, but most initiatives fail due to a lack of trust. To address this, Anupama Garani presents the TRUST Framework, which helps businesses assess their readiness and anticipate failure points. The framework targets five “silent killers”: unclear strategy, poor data quality, fragile prompting, inadequate evaluation, and weak governance. The session will include a practical GitHub demo showing how to apply the framework to build more reliable and adoption-ready AI.

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What You’ll Learn?

By the end of this session, attendees will be able to:

  • Identify the five silent killers of enterprise RAG projects.
  • Apply the TRUST Framework to evaluate readiness and avoid common pitfalls.
  • Explore current industry trends driving AI adoption and governance.
  • See a live GitHub demo of practical techniques to strengthen data quality, prompting, and evaluation.
  • Leave with a checklist and code resource to jumpstart trustworthy RAG systems.

Who Should Attend?

Suitable for:

  • AI/ML Engineers exploring enterprise-level RAG applications
  • Developers looking to build ChatGPT-style assistants
  • Data Scientists interested in applied LLM engineering
  • Tech Leads/Architects responsible for deploying AI solutions

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