Instead of relying on vector databases, DeepMind proposes:

1. The LLM itself selects the most relevant documents — no vector database needed.

2. The selected documents are then placed directly into the context for generation.

This kind of in-context retrieval approach greatly improves retrieval accuracy compared to traditional vector-based retrieval methods.