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EuroSTAR Conference

Europe's Largest Quality Engineering Conference

Track Talk T3

RAG to Riches: Supercharging LLMs for Superior AI Testing

Venkatesh Mukhopadhyay

Anamika Mukhopadhyay

11:00 - 11:45 CEST Thursday 5th June

As artificial intelligence continues to permeate various sectors, the need for robust AI testing methodologies becomes crucial. Retrieval-Augmented Generation (RAG) presents a transformative approach to AI testing by combining the strengths of retrieval systems with generative models. This hybrid methodology not only enhances the accuracy of AI outputs but also streamlines the testing process, making it more efficient and effective.

In this talk, we will delve into the mechanics of RAG and its practical applications in testing environments. By leveraging external knowledge sources, RAG can provide contextually relevant information that improves the quality of generated responses. This is particularly beneficial in scenarios where traditional models may struggle with ambiguity or lack sufficient training data.

We will explore real-world use cases where RAG has been successfully implemented, showcasing how we have achieved significant improvements in AI testing frameworks. Attendees will gain insights into the design and deployment of RAG systems, including best practices for integrating them into existing workflows.

Join us to discover how RAG can revolutionize your AI testing processes, leading to enhanced accuracy and reduced time-to-market for AI-driven solutions.

What you will learn

  1. Understand the fundamentals of Retrieval-Augmented Generation (RAG).
  2. Explore practical applications and case studies of RAG in AI testing.
  3. Learn best practices for implementing RAG within existing testing frameworks.

Session Details

  • Intermediate
  • 45 minutes
  • Includes 15 mins Q&A
  • Implementing/integrating AI tools
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Check out this video from Venkatesh & Anamika Mukhopadhyay to hear more about their talk, ‘RAG to Riches: Supercharging LLMs for Superior AI Testing’.

We look forward to welcoming you to EuroSTAR 2025.

Session Speaker

Venkatesh Mukhopadhyay

Nagarro, India


Experienced QA automation tester with expertise across banking, telecom, and pharma domains. Passionate about AI and its transformative potential, with a graduate degree in machine learning. Continuously exploring innovative ways to integrate AI into software testing, enhancing efficiency and accuracy in quality assurance processes.

Session Speaker

Headshot of EuroSTAR 2024 speaker Anamika Mukhopadhyay

Anamika Mukhopadhyay

Nagarro, India


With over a decade of experience in software testing and automation, Anamika is a dedicated QA consultant passionate about inclusivity and equality in the development process. She actively explores innovative AI solutions to enhance software testing, ensuring quality and accessibility for all users in the tech landscape.

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