Adaptive-RAG introduces a dynamic QA framework that can adjust its response strategy based on query complexity. Whether it’s iterative and single-step retrieval-augmented processes, or bypassing retrieval entirely, Adaptive-RAG chooses the most suitable approach.

Attributes of Adaptive-RAG:

• Enhances overall efficiency and accuracy of QA systems.
• Utilizes a classifier trained to predict query complexity.
• Achieves a balance between sophisticated and simpler strategies.

Not only does this framework challenge the status quo in QA systems, but it also serves as a blueprint for adaptable AI tools that can tailor their operations according to the demands of the situation, leading to smarter and more resource-efficient models.

Discover More: Adaptive-RAG Research