Retrieval Augmented Generation (RAG) has taken the generative AI world by storm. By combining vector databases and large language models, RAG has become the de facto way to search and navigate enterprise data for generative AI.

Join Douwe Kiela, the inventor of retrieval augmentation with DataStax to discuss the origins of RAG, and where it's going. We cover specific advanced topics such as multimodal models and fine-tuning with RAG. Lastly, we'll get a sneak peek at some of the activities of Douwe's foundation model startup Contextual.ai.

In a fireside chat, special guest speaker from Contextual AI —Douwe Kiela, CEO/Co-Founder — shares how RAG and other Gen AI principles are behind the company's startup success. We explore Gen AI hot topics like:

Where RAG came from and what’s next
Multimodal models and fine-tuning with RAG
Foundation models and the role they play at Contextual AI

Don't miss this opportunity to learn from Douwe and explore the unlimited possibilities RAG, LLMs and Gen AI can unlock for your organization.

Alan Ho

Douwe Kiela