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🌱 AI Engineering · Embeddings, Vector Search & RAG · cozy lesson

Building a Production RAG Pipeline 🔒 premium preview

🔒 Marked premium for future. Free while we build locally — payment comes later.

15 min · 1 min read · no scary math, promise

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You’ve got this. Read a little, play a little — I’ll wait. No rush.

Checklist

Parsing (PDF/HTML) → chunk (by headings, overlap) → embed → store + metadata → query rewrite → hybrid retrieve → rerank → cite → eval (faithfulness, recall@k, abstain rate).

Eval set: 50 Q with gold docs. Track regressions on every prompt/retrieval change. See /animations/rag-pipeline.

Check your understanding

Correct answers earn XP (once each).

1. Chunking rule?

2. Hybrid =

My notes (saved in this browser)

Select text above → Save selection, or write your own. AlgoMaster-style notebook, local-first for MVP.

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Finished reading? Seal it with a tick ✅

The checkbox in the explorer turns green too — same progress.