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What are embeddings, and how does semantic search work?

An embedding represents content numerically for similarity comparisons.

The short answer

Low stock and what if an item is unavailable differ in wording but are related. Similarity alone does not prove relevance to a specific business rule.

Try it in three steps

  • Write three paraphrases of one question.
  • Add one question sharing keywords but having a different meaning.
  • Use them to test whether retrieval confuses the meanings.

A practice prompt

Before you start

Design semantic-search questions first. Test actual retrieval only in a working knowledge base.

Practice material (fictional)

A: Out-of-stock items can only be registered as interest. B: Stocktake is every Friday. Questions: Can I buy a sold-out item? When is stocktake?

Replace placeholders in the prompt with this material, or append the material if there are no placeholders. Reading time excludes doing the exercise.

Write three everyday versions of Can I order when stock is insufficient, plus a stock-related counterexample with a different intent.

What to look for (not a recorded test result)

The first question should retrieve A and the second B. Chat paraphrasing alone does not verify embeddings or retrieval quality.

If it goes wrong

When retrieval matches words but misses intent, add constraints and inspect the passage instead of trusting rank one.

Check your result

You can create a paraphrase and a counterexample to test retrieval boundaries.

References and scope

The links below support the concepts or product navigation. The steps and exercises are our teaching suggestions, not official certification or measured customer outcomes. Product interfaces and availability may change. References checked on 2026-10-17.

Start with one task

Describe the current process and its slowest step. The initial conversation is free.

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