Data is crucial for using generative AI applications in the enterprise. It’s what teaches large language models (LLMs) a company’s knowledge and internal wiring. To connect data with LLMs, many data teams and CDOs are turning towards retrieval augmented generation (RAG). 

Hear from Akash Sagar, Engineering Manager at Glean, who share 5 tips for implementing RAG that he used firsthand while building a Work AI platform. CDOs and data leaders will leave this talk with the tools and insights to embrace RAG.