New! 10X Faster Time to Insights with Prompts—Now Generally Available
Contact Sales

Seven RAG Failures and How to Solve Them

Like any AI, RAG can fail in a number of ways, which can impact your business. How do you know where your RAG is failing, and more importantly, how can you stop it before it creates problems?

In their 2024 paper, Barnett et al. explained seven ways that your RAG system can fail. Join ML Evangelist Micaela Kaplan as she dives into those failure points, shows you exactly how to identify which failure point is the cause of your errors, and gives you ways to fix those errors quickly. In this live workshop, you’ll learn how to:

  • Use common metrics like Ragas alongside key human observations to navigate a decision tree that will pinpoint the errors
  • Solve the issues you uncover by training rerankers, changing your consolidation strategy, and more!
  • Guide users to ask good questions that can help mitigate bad responses from your RAG system.

Whether you’re looking for ways to make your RAG system more robust, or you’re looking for ways to solve RAG issues you may be currently encountering, this session is for you. We’ll see you there!

Speakers

Micaela Kaplan

Machine Learning Evangelist

Micaela Kaplan is the Machine Learning Evangelist at HumanSignal. With her background in applied Data Science and a masters in Computational Linguistics, she loves helping other understand AI tools and practices.

Related Content