What is RAG for AI wikis?

Retrieval Augmented Generation pulls relevant wiki chunks into LLM prompts, dodging context limits for accurate, scalable answers.

How do I add RAG to Obsidian?

Grab ObsidianRAG or obsidianRAGsody—local ChromaDB setups embed your vault, query via Ollama or Claude.

Mostly—grounds answers in your docs, but bad retrieval still lies. Rerank and hybrid search mandatory.

🤖 AI Dev Tools

Karpathy nailed small AI wikis. But scale hits hard. RAG's your gritty fix—no buzzword salvation required.

theAIcatchup Apr 08, 2026 4 min read

RAG scales AI wikis past context windows using smart retrieval, not brute force. 𝕏
Tools like ObsidianRAG add hybrid search, reranking, and graph links for production quality. 𝕏
Avoid naive setups—chunk wisely, eval rigorously, or watch costs balloon. 𝕏

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#AI Wiki #Karpathy #LLM context window #Obsidian #Obsidian RAG #RAG #Retrieval-Augmented Generation

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