RAG vs LLM Wiki Knowledge Architecture Simulator

Continuous Knowledge Compilation vs Ephemeral Fragment Retrieval (Andrej Karpathy Concept)

Ephemeral RAG Tokens
14,200
Context window bloat
LLM Wiki Tokens
3,100
Synthesized context
RAG Contradictions
Unresolved
Raw chunks conflict
Wiki Pages / State
1 Page
Contradiction Resolved
Ephemeral Vector RAG Raw Fragments
Latency: ~280ms
Current Session: Session 2 Step 2 of 2
User Prompt Query:
"We switched from Vite to Next.js App Router last night."
Retrieved Unindexed Vector Fragments (Context Window Insertion):
Continuous LLM Wiki Compiler Distilled State
Knowledge Entity Graph (D3 Synthesis):
Compiled Structured Wiki Pages:

Architectural Benchmark & Verification Proof

RAG Contradiction Detected
false
RAG blindly feeds conflicting raw chunks to LLM prompt.
RAG Context Token Overhead
14200
Grows linearly with user history log volume.
Wiki Contradiction Resolved
true
Continuous compiler updates deprecated facts into version 2.
Wiki Token Overhead
3100
Compressed static wiki reference index context.
Wiki Page Count
1
Active structured knowledge page index size.
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