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AI & RAGUpdated: 2026-09-10

AI Apps / RAG quickstart: 5-minute local dev environment

The shortest path to getting AI Apps / RAG running — a minimal starting point for first-time users.

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Quick answer

How do I lock RAG vector store versions?

Embedding model and vector store versions are tightly coupled. Bump the embedding model together with a full index rebuild, or recall drifts.

Machine-readable page data: /data/ai-app-quickstart.json

In-depth analysis

RAG (Retrieval-Augmented Generation) couples private-knowledge retrieval with LLM generation, the dominant pattern for shipping AI applications. Combined with a vector store and structured chunking, answers become traceable and verifiable. The fastest path to a win is one command to scaffold, start dev, edit a line, and see hot reload.

AI Apps / RAG · Config example
// Minimal RAG loop: retrieve -> build context -> generate
const ctx = await vectorSearch(query, { topK: 4 }); // pull relevant chunks from the vector store
const prompt = 'Answer based on the following material: ' + ctx + ' Question: ' + query;
const answer = await llm.generate({ messages: [{ role: 'user', content: prompt }] });
// Each chunk must carry a source URL so a human can audit and trace the answer
Best practices:Pin the runtime first (Node ≥ 20.19 + pnpm). One command to scaffold, start dev, edit a line, see hot reload — fastest path to positive feedback.
Pitfalls:Chunks without source URLs produce untraceable hallucinations. A topK that is too large dilutes the context, too small misses critical info — tune per use case. Pin the runtime first (Node ≥ 20.19 + pnpm), get the toolchain smooth, then go deep — never hand-roll the directory layout.

AI Apps / RAG Quickstart · Key takeaways

  • Node ≥ 20.19 and pnpm ready
  • Official scaffold initialized
  • Dev hot reload works
  • First local page reached

FAQ & pitfalls

How do I fix hallucinations in RAG output?

Each chunk must carry a source URL. A topK that is too large dilutes context, too small misses key info — tune per use case.

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