On-Demand Webinar

Where Did Retrieval-Augmented Generation Come From, and Where Is It Going?

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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 GenAI principles are behind the company's startup success. We explore GenAI 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 GenAI can unlock for your organization.

Speakers
Douwe Kiela

Douwe Kiela

CEO/Co-Founder at Contextual AI, Contextual AI