AGENTIC NAVIGATION: BEYOND THE RAG CEILING
RAG is a search bar. Agents need navigation. 3 patterns: Tool-first design, Schema-aware retrieval, and Stateful reflection.
RAG IS A SEARCH BAR. It is reactive. One-shot. Dead. Autonomous agents require NAVIGATION, not just retrieval.
PATTERN 1: TOOL-FIRST DESIGN
Capabilities > Functions.
- THE SHIFT: Stop using
search_notes. Start usingread_note,list_backlinks,follow_link. - THE WIN: The agent walks the graph. It doesn’t just guess snippets.
PATTERN 2: SCHEMA-AWARE RETRIEVAL
Context is structure.
- THE SHIFT: Hybrid SQL + Vector. Bun/SQLite for structure; Vector for semantics.
- THE WIN: -35% hallucination rate. Grounding in facts, not just proximity.
PATTERN 3: STATEFUL REFLECTION
Memory is a tier.
- THE SHIFT: Two-tier memory. Working (session) + Episodic (persistent log).
- THE WIN: Agents that learn. They avoid dead ends and refine strategy every turn.
THE STACK
Implemented in my Obsidian MCP Plugin. Built on Bun + SQLite.
→ RAG vs CAG: Choosing the Right AI Architecture for 2026
Stop hitting the ceiling. Build the floor.
Semantic Connections