Beyond RAG: The Layered Stack for Reliable AI Tool Orchestration

As AI agents scale to hundreds of tools, traditional RAG and context-loading methods lead to frequent hallucinations and high costs. Implementing a layered filtering architecture—combining intent classification, metadata filtering, and semantic search—is essential for building production-ready agents that pick the right tool every time. This shift from simple reasoning to structured orchestration marks a critical evolution in agentic reliability.