As AI usage scales, cost and latency have become the primary bottlenecks. Adaptive RAG is the industry's answer to this challenge.
Intelligent Routing
Not every question needs a deep search of 10 million documents. Adaptive RAG uses a "Router" (often a smaller, faster LLM) to decide the necessary depth of retrieval:
- Direct Answer: For simple facts already in the model's weights.
- Fast RAG: A quick vector search for standard queries.
- Deep Agentic RAG: For complex, multi-layered questions that require tool use and iteration.
Success in Production
By implementing Adaptive RAG, companies are seeing 40-60% reduction in token costs and significantly faster response times for their users. It's the difference between a "slow and expensive" AI and one that feels like a native part of the user experience.