Here's a recording of the "RAGs to Riches? The Realities of RAG and text-to-SQL" webinar.

We discussed how to create highly personalized and accurate applications, businesses need to harness the power of their data, whether it's stored in operational systems, data lakes, or data warehouses. Large Language Models (LLMs) can access this data through retrieval augmented generation (RAG) and SQL queries. However, this approach comes with its own challenges.

Join us as industry experts discuss the ins and outs of RAG, the benefits and drawbacks of AI-generated SQL, and the steps needed to make your enterprise data GenAI-ready.