RAG IS DEAD: THE RISE OF CONTEXT DENSITY

Vector search is a bottleneck. I moved to Context-Augmented Generation (CAG). Large windows + Prompt Caching = Superior Reasoning.

RAG IS A HACK. Chunking destroys meaning. I moved to Context Density. Large windows + Prompt Caching = Superior Reasoning.

WHY CONTEXT DENSITY?

  • STOP CHUNKING: Feed entire vaults into the context. No fragments. No loss of structural meaning.
  • GLOBAL REASONING: Ask complex timeline questions. RAG finds snippets; CAG sees the whole story.
  • PROMPT CACHING: Instant queries. 90% cheaper. Performance is a feature, not an afterthought.

THE STACK: OBSIDIAN AGENTIC RAG

  1. CACHE: Upload vault state once. Let the model ‘know’ your world.
  2. NAVIGATE: Agents walk the graph, following links, not just keyword matches.
  3. SYNTHESIZE: High-density reasoning over full context.

THE SHIFT

Vector DBs are overhead. Context windows are the new RAM. Navigate, don’t just search.

RAG vs CAG: Choosing the Right AI Architecture for 2026

github.com/moughamir/obsidian-agentic-rag

Semantic Connections

Explore the Knowledge Graph