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Advanced – AI & ML Testing

Embeddings Testing – ISTQB Definition

Last Updated: July 12, 2026 · SoftwareTestPilot QA Team

Official ISTQB Definition

Verification of vector embeddings for semantic search and similarity, covering dimensionality, distance metrics, and drift.

In simple words

Testing the vector representations AI systems use to find similar items.

Exam tip

Test embeddings with hold-out relevance sets and monitor drift after model upgrades.

Related terms

RAG TestingTesting AI systems that look up documents and then answer questions.
AI TestingTesting apps built on AI models — including whether the model itself gives good answers.
Machine Learning TestingTest ML systems on data, model behavior, fairness and drift — not just standard functional tests.

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