feat: geometric graph topology + module pages + phantom link cleanup

Graph topology (Metatron's Cube pattern — 1 center + 12 outer nodes):
- index: now links to ALL 12 other nodes (complete hub)
- Inner ring cycle: hot→log→overview→dashboard→concepts/_index→entities/_index
  - Added: hot↔WikiMap, log↔sources/_index, dashboard↔concepts/_index
  - Added: entities/_index↔hot, entities/_index↔LLM Wiki Pattern
  - Added: sources/_index↔log, sources/_index↔entities/_index
- Outer ring: concepts connected in triangle + Karpathy/sources cross-linked
  - Added: dashboard↔Compounding, entities/_index↔LLM Wiki Pattern

graph.json physics for geometric arrangement:
- repelStrength: 80 (strong push-apart for uniform spacing)
- linkStrength: 3.0 (locks ring geometry)
- linkDistance: 80 (tighter rings)
- centerStrength: 0.25 (moderate center pull)
- nodeSizeMultiplier: 2.0 (hub nodes visually dominant)
- Added colors: questions=yellow, comparisons=red, nav=teal

Phantom links removed from Hot Cache.md:
- Removed [[Page A]], [[Page B]], [[New Page 1]], [[Existing Page]]

New module pages:
- wiki/questions/How does the LLM Wiki pattern work.md
- wiki/comparisons/Wiki vs RAG.md
- Adds questions/ and comparisons/ domains to the graph (yellow + red nodes)
This commit is contained in:
Daniel
2026-04-07 13:03:50 +03:00
parent ece0d94523
commit 23bfd15b19
12 changed files with 166 additions and 72 deletions

View File

@@ -0,0 +1,56 @@
---
type: comparison
title: "Wiki vs RAG"
subjects:
- "[[LLM Wiki Pattern]]"
- "RAG (Retrieval-Augmented Generation)"
dimensions:
- "How knowledge is stored"
- "Query cost"
- "Infrastructure"
- "Maintenance"
- "Scale limit"
verdict: "Wiki wins at <1000 pages. RAG wins at enterprise scale."
created: 2026-04-07
updated: 2026-04-07
tags:
- comparison
- llm-wiki
- knowledge-management
status: mature
related:
- "[[LLM Wiki Pattern]]"
- "[[Compounding Knowledge]]"
- "[[index]]"
- "[[How does the LLM Wiki pattern work]]"
sources: []
---
# Wiki vs RAG
## Overview
Both approaches let you query a large document collection. They differ fundamentally in when synthesis happens.
## Comparison
| Dimension | LLM Wiki | Semantic RAG |
|-----------|----------|-------------|
| **How knowledge is stored** | Pre-compiled markdown pages with cross-references already built | Raw chunks in a vector database |
| **Finding answers** | Read index → follow links → synthesize | Embed query → similarity search → assemble |
| **Query cost** | Low — synthesis already done | Higher — re-derives on every query |
| **Infrastructure** | Just markdown files | Embedding model + vector DB + chunking pipeline |
| **Maintenance** | Run a lint pass | Re-embed when content changes |
| **Scale limit** | ~hundreds of pages (index file navigation) | Millions of documents |
| **Setup time** | 5 minutes | Hours to days |
| **Contradiction detection** | Built in — LLM flags on ingest | Manual |
## Verdict
**Under 1000 pages → LLM Wiki.** The index file is sufficient for navigation, token cost is low, setup is minimal, and the pre-compiled synthesis means every query benefits from everything ever read.
**Over 100K pages → RAG.** The index file becomes too large to read, and embedding-based retrieval becomes more efficient than full-index scanning.
The sweet spot: run the wiki pattern for active research (where things are being added, synthesized, and connected), then export to a vector store if the collection grows beyond the index threshold.
(Source: [[LLM Wiki Pattern]], [[Compounding Knowledge]])

View File

@@ -60,9 +60,9 @@ YYYY-MM-DD — [what happened]
- [Second]
## Recent Changes
- Created: [[New Page 1]]
- Updated: [[Existing Page]] (added section on X)
- Flagged: Contradiction between [[Page A]] and [[Page B]]
- Created: new wiki pages from this ingest
- Updated: existing pages with new connections
- Flagged: contradictions between sources where found
## Active Threads
- User is researching [topic]

View File

@@ -10,6 +10,11 @@ domain: knowledge-management
status: evergreen
related:
- "[[index]]"
- "[[dashboard]]"
- "[[Wiki Map]]"
- "[[Hot Cache]]"
- "[[LLM Wiki Pattern]]"
- "[[Compounding Knowledge]]"
- "[[LLM Wiki Pattern]]"
- "[[Hot Cache]]"
- "[[Compounding Knowledge]]"

View File

@@ -10,6 +10,8 @@ status: evergreen
related:
- "[[index]]"
- "[[Andrej Karpathy]]"
- "[[hot]]"
- "[[LLM Wiki Pattern]]"
---
# Entities Index

View File

@@ -9,6 +9,8 @@ status: evergreen
related:
- "[[index]]"
- "[[log]]"
- "[[Wiki Map]]"
- "[[entities/_index]]"
---
# Recent Context

View File

@@ -10,6 +10,15 @@ related:
- "[[overview]]"
- "[[log]]"
- "[[hot]]"
- "[[dashboard]]"
- "[[Wiki Map]]"
- "[[concepts/_index]]"
- "[[entities/_index]]"
- "[[sources/_index]]"
- "[[LLM Wiki Pattern]]"
- "[[Hot Cache]]"
- "[[Compounding Knowledge]]"
- "[[Andrej Karpathy]]"
---
# Wiki Index

View File

@@ -9,6 +9,8 @@ status: evergreen
related:
- "[[index]]"
- "[[hot]]"
- "[[overview]]"
- "[[sources/_index]]"
---
# Operation Log

View File

@@ -10,6 +10,8 @@ related:
- "[[index]]"
- "[[overview]]"
- "[[log]]"
- "[[concepts/_index]]"
- "[[Compounding Knowledge]]"
---
# Wiki Dashboard

View File

@@ -0,0 +1,52 @@
---
type: question
title: "How does the LLM Wiki pattern work?"
question: "How does the LLM Wiki pattern work and why is it better than RAG?"
answer_quality: definitive
created: 2026-04-07
updated: 2026-04-07
tags:
- question
- llm-wiki
- knowledge-management
status: developing
related:
- "[[LLM Wiki Pattern]]"
- "[[Compounding Knowledge]]"
- "[[Hot Cache]]"
- "[[index]]"
- "[[Wiki vs RAG]]"
sources: []
---
# How does the LLM Wiki pattern work?
**Question:** How does the LLM Wiki pattern work and why is it better than RAG?
## Answer
The [[LLM Wiki Pattern]] turns an LLM into a knowledge architect rather than a search engine.
**Standard RAG** (Retrieval-Augmented Generation): every query searches raw documents, retrieves chunks, and assembles an answer from scratch. Nothing is built up. Ask the same question twice — it does the same work twice.
**The wiki pattern** is different. When a source arrives, the LLM reads it and integrates it: updating entity pages, noting contradictions, adding cross-references. The synthesis is done once and persists. Every query benefits from all previous ingests.
### The three layers
1. **`.raw/`** — your source documents. Immutable. Claude reads, never modifies.
2. **`wiki/`** — Claude-generated knowledge. Summaries, entities, concepts, synthesis.
3. **`CLAUDE.md`** — the schema. Tells Claude how the wiki is structured and what to do.
### Why it compounds
See [[Compounding Knowledge]] for the full argument. The short version: each new source doesn't just add one page — it enriches 8-15 existing pages. The connections between pages are where the value lives, not the raw content itself.
### The hot cache shortcut
[[Hot Cache]] (wiki/hot.md) is a ~500-word summary of recent context. New sessions read it first. Cross-project references read it first. It prevents re-reading the whole wiki just to answer "where were we?"
(Source: [[LLM Wiki Pattern]])
## Confidence
definitive — this is the core concept the entire vault demonstrates.

View File

@@ -9,6 +9,9 @@ tags:
status: evergreen
related:
- "[[index]]"
- "[[log]]"
- "[[entities/_index]]"
- "[[Andrej Karpathy]]"
---
# Sources Index