One search. Connected ideas.

Use this after studying the full explanations. Spend 10 minutes on vocabulary, 10 on RAG and agents, 10 on security/workflows/evaluation, and 10–30 on the insurance design and scenario answers.

A production reference design specifies failed and uncertain outcomes as carefully as successful ones. Evaluation checks behavior before release; observability detects failures in actual runs. Human escalation is an explicit supported outcome.

Practice saying the answer clearly, then explain the insurance example and the trade-off. A strong answer identifies the authoritative data, safe failure, and measurement—not only the framework name.

Beginner — What makes a good prompt?

Beginner — What is RAG?

Beginner — Explain an embedding.

Beginner — Why use a vector index?

Beginner — What does LangChain provide?

Beginner — What are nodes, edges, and state?

Beginner — Agent versus chatbot?

Beginner — What problem does MCP solve?

Beginner — What is MAF?

Use this after studying the full explanations. Spend 10 minutes on vocabulary, 10 on RAG and agents, 10 on security/workflows/evaluation, and 10–30 on the insurance design and scenario answers.

A production reference design specifies failed and uncertain outcomes as carefully as successful ones. Evaluation checks behavior before release; observability detects failures in actual runs. Human escalation is an explicit supported outcome.

Practice saying the answer clearly, then explain the insurance example and the trade-off. A strong answer identifies the authoritative data, safe failure, and measurement—not only the framework name.

I remove any path that asks it to know account facts. An authorized tool returns canonical status; a template or model explains that result. I test missing claims, denied access, backend failure, and unsupported extra statements.

Beginner — What makes a good prompt?

I measure which examples actually help and remove redundancy. I test a smaller prompt, provider-supported schemas, deterministic preprocessing, or a better model. I optimize latency and cost while preserving held-out quality.

Beginner — What is RAG?

The cited document may be irrelevant, expired, inapplicable, or missing an exception; the answer may also misinterpret it. I validate source eligibility and claim support, not just whether the link exists.

Beginner — Explain an embedding.

I add exact identifier fields and lexical/hybrid retrieval. Embeddings may not preserve rare codes or precise numbers well. I test actual identifiers and keep them intact during query rewriting and text preprocessing.

Beginner — Why use a vector index?

The retrieval process selected candidates from an ineligible corpus. I move supported eligibility filters into retrieval and recheck object permissions before evidence reaches the model. Post-filtering alone can both underfill results and expose data upstream.

AI Engineering learning module

AI Engineering learning module

AI Engineering learning module