AI Knowledge Base Lab

What you’ll learn

Build and inspect a small local knowledge-retrieval workflow with source IDs, answerability checks, citations, and evaluation.

• Create versioned evidence units with stable citations
• Separate keyword retrieval from answerability checks
• Run and extend a tested offline Python retrieval fixture

1. 01
   Define What the Knowledge Base Can Answer18 min lesson + exercise estimate
   Free preview
2. 02
   Inventory Sources and Preserve Their Versions20 min lesson + exercise estimate
3. 03
   Create Retrieval Units That Keep Their Context20 min lesson + exercise estimate
4. 04
   Run and Inspect the Keyword Retrieval Lab25 min lesson + exercise estimate
5. 05
   Check Coverage, Missing Facts, and Conflicts25 min lesson + exercise estimate
6. 06
   Return Evidence with Verifiable Citations22 min lesson + exercise estimate
7. 07
   Evaluate Retrieval and Answerability Separately25 min lesson + exercise estimate
8. 08
   Capstone: Maintain a Small Evidence Workflow30 min lesson + exercise estimate

What you’ll need

A text editor and modern browser; Python 3.10 or newer for the optional local lab. Basic JSON familiarity helps. Python standard library only; no API key or subscription. The lab is keyword retrieval and authored practice data, not a live AI service.

How access works

1. Try the first lesson. Read the preview and complete its exercise before deciding.
2. Pay once through Stripe. The price is $99 USD for this course. There is no recurring subscription.
3. Keep your private order link. After payment confirmation, your order page unlocks the lessons and ZIP download. The browser also saves the purchase in My learning.

Download the course and workbook for offline study. Online access lasts while the service operates. Live tutoring, certificates, and external tool subscriptions are not included.

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