Zenith argues that AI agents need routing-based retrieval systems tailored to different question types rather than a single best retrieval method. Vector search alone fails for questions requiring document versioning, relationship paths, or current state; the solution is hybrid retrieval combining vector and BM25 search, with GraphRAG only when relationship queries genuinely outperform tuned baselines.