> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/learning-management-system/answer-correctness.md).

# Answer Correctness

Evaluate accuracy of AI-generated answers in LMS. Improve reliability of assessments and learning interactions.

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**Objective:**\
The Answer Correctness Test checks whether the provided answer is correct based on the given context. This test ensures that the response accurately reflects the information found in the context. A higher score indicates a higher degree of correctness in the answer.

**Required Arguments:**

* **List of Chunks of Context**: Sections of the context that contain the correct information against which the answer will be evaluated.
* **Response Received**: The answer generated by the model that is being evaluated for correctness.
* **Threshold for Similarity Index**: A parameter that determines the level of similarity at which the answer is considered correct.

**Score Range:**\
0 (incorrect answer) to 1 (correct answer)

**Interpretation:**\
A higher score suggests that the answer closely matches the correct information provided in the context, indicating a higher level of accuracy. A lower score would indicate that the answer is not aligned with the context and may be incorrect.