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 using read_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

Explore the Knowledge Graph