Webinar: Beginner’s Guide to Building & Evaluating RAG Apps
The webinar has passed. Resources (code + slides) are available below.
Come join our upcoming webinar on the transformative power of Retrieval Augmented Generation (RAG)!
This innovative approach combines the vast knowledge of large language models with the precision of information retrieval, setting a new standard for generating accurate and contextually rich text. As RAG technology continues to evolve, understanding how to build and evaluate RAG applications becomes crucial for anyone looking to stay ahead in the field of AI. This session will not only cover the basics of RAG but also delve into the practical aspects of choosing information sources, designing retrieval strategies, and integrating these components for optimal performance. Expect a live demo and a code-share session that will give you hands-on experience on how to build and subsequently evaluate RAG technologies.
Speakers
Srijan Kumar
Founder and CEO at Lighthouz
Ayush Pai
Computer Science at Georgia Tech
Akmal Chaudhri
Senior Technical Evangelist at SingleStoreDB
Takeaway and Learnings
- The fundamentals of Retrieval Augmented Generation (RAG) and how it works
- Strategies for selecting reliable information sources and designing effective retrieval mechanisms.
- Best practices for integrating retrieval and generation components in RAG applications.
- Metrics for evaluating the accuracy, relevance, and quality of generated text in RAG systems.
- Insights into the future of RAG technology and its potential applications across various industries.