Ingest
BlueDrop in an article, paper, or URL. AI reads it and updates wiki pages with new knowledge and links.
The AI Knowledge Base
That Compounds
Unlike traditional RAG systems that forget between queries, LLM Wiki AI compiles knowledge into a persistent, interconnected wiki.
✦ Open Source✦ Powered by Gemini Flash✦ LLM Wiki Methodology
Why Wiki beats RAG
| Category | Traditional RAG | LLM Wiki AI |
|---|---|---|
| When processed | At query time | At ingestion time |
| Knowledge accumulates | ✗ Fresh each time | ✓ Grows with each source |
| Cross-references | Temporary | Persistent, pre-compiled |
| Contradiction detect | Often missed | Flagged during ingestion |
| Output format | Chat reply (ephemeral) | Markdown wiki (permanent) |
Three operations, growing knowledge
Query
Coming soonAsk a question. AI synthesizes an answer from compiled pages and cites exact wiki entries.
Lint
GreenHealth checks detect contradictions, orphaned pages, stale information, and missing entries.
Start exploring
overview
AI & Large Language Models: An Overview
AI & Large Language Models: An Overview LLMs are neural networks trained on large corpora.
Updated Apr 9, 2026 · 👁 248
concept
Large Language Model (LLM)
Large Language Model (LLM) An LLM is a transformer based model trained for next token prediction.
Updated Apr 9, 2026 · 👁 227
concept
Transformer Architecture
Transformer Architecture Transformers replaced recurrent structures with attention.
Updated Apr 9, 2026 · 👁 201
entity
OpenAI
OpenAI OpenAI develops GPT family models and alignment research.
Updated Apr 9, 2026 · 👁 193
concept
Attention Mechanism
Attention Mechanism Self attention computes weighted relationships between tokens.
Updated Apr 9, 2026 · 👁 180
entity
Anthropic
Anthropic Anthropic is known for Claude and Constitutional AI.
Updated Apr 9, 2026 · 👁 161
Knowledge is connected
Total Nodes
10
Total Links
6
Top Node
AI & Large Language Models: An Overview
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