beginner pathway

Local AI, Evidence Search, and Introductory RAG

Learn how grounded answers differ from unsupported model guesses.

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Evidence First, Then Answer

A grounded answer is built from inspectable evidence. The source can still be wrong, incomplete, or outdated, so the answer should show citations and uncertainty instead of hiding the basis.

Exercise

Write one question that requires a source and one that is just a personal preference.

Assessment

What should an answer do when it lacks evidence?

The honest response is to say evidence is missing or uncertainty remains.

Sources

Simple Retrieval for Source Finding

Retrieval starts with finding candidate passages. Lexical search matches words directly. Hybrid retrieval can add embeddings and reranking, but access control and source review still matter.

Exercise

Search this site for read_text and name the course and lesson that mention it.

Assessment

Is a search result automatically proof?

Search results are leads. Inspect the source before relying on the claim.

Sources

Mini Project: Cited Answer Card

Retrieval-augmented generation is useful only when users can inspect what was retrieved and understand what the model added. A beginner can start with a deterministic cited answer card before using any model.

Exercise

Use Ask AI on this site for a course question, then export or copy the cited answer summary.

Assessment

What is one private boundary for public Ask AI?

Public interfaces must not expose engineering tools or another user's private data.

Sources

Final mini-project

Create a cited answer card from local course evidence and explain its uncertainty.