The architecture of dynamic RAG

Imagine you’re in a dynamic environment in which information changes daily. Each morning, you gather a fresh batch of 10,000+ questions and validated answers from across the globe. The challenge is to access this information quickly and effectively during meetings without needing long-term storage or complicated infrastructure.

This dynamic RAG method allows us to maintain a lean, responsive system that provides up-to-date information without the burden of ongoing data storage. It’s perfect for environments where data relevance is short-lived but critical for decision-making.

We will be applying this to a hard science dataset. However, this dynamic approach isn’t limited to our specific example. It has broad applications across various domains, such as:

• Customer support: Daily updated FAQs can be accessed in real-time to provide quick responses to customer inquiries.
• Healthcare: During meetings, medical...