March 2025
Intermediate
3h 46m
English
conference
AI Superstream: Retrieval-Augmented Generation (RAG) in Production—Leveraging Your Data for AI Applications
by Susan Shu Chang, Douwe Kiela, Faye Zhang, Apoorva Joshi, Greg Sarjeant, Ofer Mendelevitch, Anthony Alcaraz, Nikhil Pentapalli, Surabhi Bhargava, Max Buckley
Closed Captioning available in German, English, Spanish, French, Italian, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
Sponsored by Oso Security, Inc.
Retrieval-augmented generation (RAG) has the potential to revolutionize how machines understand and generate human language. Join us to learn how to leverage the pioneering concepts and emerging technologies behind RAG in production environments today.
Leading experts in the field will help you unravel the mysteries of integrating traditional generative models with the latest retrieval techniques to enhance the relevance, accuracy, and contextuality of generated text. You’ll discover the practicalities of meshing RAG with your current systems, get tips on optimizing your information retrieval processes, find out how to overcome common hurdles in production deployment, and much more.
What you’ll learn and how you can apply it
- Understand the foundations of retrieval-augmented generation and its benefits for AI-powered applications
- Explore real-world AI applications that leverage RAG to improve accuracy and reliability
- Discover the challenges of putting RAG systems in production and learn solutions for dealing with them
Recommended follow-up:
- Read Retrieval Augmented Generation in Production with Haystack (early release book)
- Watch Building Retrieval Augmented Generation (RAG) Applications with LlamaIndex (on-demand course)
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