KARPATHY'S COMPOUNDING KNOWLEDGE LOOP: ...
Quick Answer
Karpathy's framework proposes a persistent knowledge base using Claude and Obsidian, enhancing RAG's stateless nature.
Quick Take
Karpathy's framework proposes a persistent knowledge base using Claude and Obsidian, enhancing 's stateless nature. By creating a structured vault, defining schemas, and auto-linking pages, users can compile and compound knowledge effectively with each new document added.
Key Points
- RAG forgets context after each query, limiting its utility.
- Karpathy's method involves creating a vault and using Obsidian for visualization.
- Users can link Claude directly to their workspace for seamless integration.
- Defining schemas and catalogs helps track changes and organize knowledge.
- Knowledge compounds with every new document ingested into the system.
📖 Reader Mode
~1 min read
KARPATHY'S COMPOUNDING KNOWLEDGE LOOP: CLAUDE + OBSIDIAN RAG is stateless. it forgets everything once the query ends use Karpathy's framework to build a persistent knowledge base instead: > create a vault - make a local directory for your files > open Obsidian - use the local app to browse the visual graph > connect the agent - link Claude Code directly to your workspace > write the schema - define formatting rules in a CLAUDE.md file > define catalogs - set up index.md and log.md files to track changes > ingest sources - drop raw papers in and let the agent parse them > auto-link pages - let the model map entity pages dynamically > query and lint - ask questions and scan for contradictions knowledge compiles once and compounds with every new document. 📁 Obsidian ↳ obsidian.md 📁 Claude ↳ claude.ai 📁 Karpathy LLM-Wiki Gist ↳ gist.github.com/karpathy/442a6… the $20 pro subscription window for Fable 5 closes on July 12th
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