Sign up to save your podcasts
Or
Share #305 RAG 2.0 and The New Era of RAG Agents with Douwe Kiela, CEO at Contextual AI, Adjunct Professor at Stanford University, Inventor of RAG
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
#305 RAG 2.0 and The New Era of RAG Agents with Douwe Kiela, CEO at Contextual AI, Adjunct Professor at Stanford University, Inventor of RAG
Retrieval Augmented Generation (RAG) continues to be a foundational approach in AI despite claims of its demise. While some marketing narratives suggest RAG is being replaced by fine-tuning or long context windows, these technologies are actually complementary rather than competitive. But how do you build a truly effective RAG system that delivers accurate results in high-stakes environments? What separates a basic RAG implementation from an enterprise-grade solution that can handle complex queries across disparate data sources? And with the rise of AI agents, how will RAG evolve to support more dynamic reasoning capabilities?
Douwe Kiela is the CEO and co-founder of Contextual AI, a company at the forefront of next-generation language model development. He also serves as an Adjunct Professor in Symbolic Systems at Stanford University, where he contributes to advancing the theoretical and practical understanding of AI systems.
Before founding Contextual AI, Douwe was the Head of Research at Hugging Face, where he led groundbreaking efforts in natural language processing and machine learning. Prior to that, he was a Research Scientist and Research Lead at Meta’s FAIR (Fundamental AI Research) team, where he played a pivotal role in developing Retrieval-Augmented Generation (RAG)—a paradigm-shifting innovation in AI that combines retrieval systems with generative models for more grounded and contextually aware responses.
In the episode, Richie and Douwe explore the misconceptions around the death of Retrieval Augmented Generation (RAG), the evolution to RAG 2.0, its applications in high-stakes industries, the importance of metadata and entitlements in data governance, the potential of agentic systems in enterprise settings, and much more.
Links Mentioned in the Show:
- Contextual AI
- Connect with Douwe
- Course: Retrieval Augmented Generation (RAG) with LangChain
- Related Episode: High Performance Generative AI Applications with Ram Sriharsha, CTO at Pinecone
- Register for RADAR AI - June 26
New to DataCamp?
- Learn on the go using the DataCamp mobile app
- Empower your business with world-class data and AI skills with DataCamp for business
View all episodes
By DataCamp
4.9
266266 ratings
Retrieval Augmented Generation (RAG) continues to be a foundational approach in AI despite claims of its demise. While some marketing narratives suggest RAG is being replaced by fine-tuning or long context windows, these technologies are actually complementary rather than competitive. But how do you build a truly effective RAG system that delivers accurate results in high-stakes environments? What separates a basic RAG implementation from an enterprise-grade solution that can handle complex queries across disparate data sources? And with the rise of AI agents, how will RAG evolve to support more dynamic reasoning capabilities?
Douwe Kiela is the CEO and co-founder of Contextual AI, a company at the forefront of next-generation language model development. He also serves as an Adjunct Professor in Symbolic Systems at Stanford University, where he contributes to advancing the theoretical and practical understanding of AI systems.
Before founding Contextual AI, Douwe was the Head of Research at Hugging Face, where he led groundbreaking efforts in natural language processing and machine learning. Prior to that, he was a Research Scientist and Research Lead at Meta’s FAIR (Fundamental AI Research) team, where he played a pivotal role in developing Retrieval-Augmented Generation (RAG)—a paradigm-shifting innovation in AI that combines retrieval systems with generative models for more grounded and contextually aware responses.
In the episode, Richie and Douwe explore the misconceptions around the death of Retrieval Augmented Generation (RAG), the evolution to RAG 2.0, its applications in high-stakes industries, the importance of metadata and entitlements in data governance, the potential of agentic systems in enterprise settings, and much more.
Links Mentioned in the Show:
- Contextual AI
- Connect with Douwe
- Course: Retrieval Augmented Generation (RAG) with LangChain
- Related Episode: High Performance Generative AI Applications with Ram Sriharsha, CTO at Pinecone
- Register for RADAR AI - June 26
New to DataCamp?
- Learn on the go using the DataCamp mobile app
- Empower your business with world-class data and AI skills with DataCamp for business
More shows like DataFramed
View all
The Changelog: Software Development, Open Source
284 Listeners
Data Skeptic
476 Listeners
Talk Python To Me
583 Listeners
Software Engineering Daily
624 Listeners
Super Data Science: ML & AI Podcast with Jon Krohn
297 Listeners
NVIDIA AI Podcast
341 Listeners
Data Engineering Podcast
141 Listeners
Machine Learning Guide
770 Listeners
Practical AI
188 Listeners
The Stack Overflow Podcast
63 Listeners
The Real Python Podcast
140 Listeners
Last Week in AI
298 Listeners
Machine Learning Street Talk (MLST)
91 Listeners
Latent Space: The AI Engineer Podcast
72 Listeners
Training Data
43 Listeners