E · Embedding · evaluation · EU AI Act

Evaluation

Measuring an AI system’s answer quality on a curated set of questions before shipping.

In one sentence

Evaluation is the practice of running an AI system against a curated set of representative questions, scoring its answers against a reference, and gating ship decisions on the result.

When it matters

Every time you change the retriever, the reranker, the embedding model or the system prompt — without evaluation you ship regressions blind.

A real-world example

helpcode tunes hybrid retrieval per tenant by validating against 50-100 customer-supplied real questions; the team only ships changes that improve recall + precision on the eval set.

Curated by helpcode research team · Last reviewed 2026-05-22