Rag

If your RAG pipeline runs the same retrieval strategy for every query, you're in one corner of a five-dimensional design space—and it's the worst-performing corner. Static pipelines leave up to 15% accuracy on the table and spend 3x the tokens they need to. The move to agentic retrieval is incremental, and each step compounds with every model generation.

An 8B-parameter model matches GPT-4o across five knowledge-intensive benchmarks and beats it on two. It does this by replacing the entire retrieval orchestration layer—confidence classifiers, query routers, rerankers, fusion logic—with four special tokens. No external components. When it fails, you read a transcript. That's the whole debugging story.