RAG mini-course

About

Hands-on modules: chunking, vector stores, evaluation, and guardrails. Example app uses OpenAI-compatible APIs and Supabase pgvector. You’ll ship a notebook you can demo in interviews.

Key features

• ✓Chunking strategies with overlap and metadata
• ✓pgvector schema + index tuning notes
• ✓Eval harness for hallucination spot-checks
• ✓Guardrails for citations and refusal patterns
• ✓Deployment checklist for small teams
• ✓Certificate template for LinkedIn

What's included

Specific capabilities and deliverables in this download.

Perfect for

• Developers who completed an LLM intro and want retrieval fundamentals
• Engineers evaluating pgvector vs hosted vector DBs
• Students building a portfolio RAG project
• Teams prototyping internal doc search

Customer reviews

• Vikram S.Verified buyer

  1 Apr 2026
  5.0

  Clear path from zero to working RAG.

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