# Response Correctness RAG Metric

**Objective**: This metric measures how accurate and factually grounded the entire response is, as compared to the expected response (ground truth).

**Parameters:** `Prompt`, `Response` ,`Expected Response` 

**Interpretation**: Higher score indicates the model response was correct for the prompt. Failed result indicates the response is not factually correct compared to the expected response.

<figure><img src="/files/k3HHp8N10e1LB1NtNy6g" alt=""><figcaption></figcaption></figure>

**Code Execution:**

```python
metrics=[
    {"name": "Response Correctness", "config": {"model": "gpt-4o-mini", "provider": "openai"}, "column_name": "your-column-identifier", "schema_mapping": schema_mapping}
]
```

The "schema\_mapping" variable needs to be defined first and is a pre-requisite for evaluation runs. Learn how to set this variable [here](/ragaai-catalyst/concepts/running-ragaai-evals/executing-evaluations.md).

**Example**:

* Prompt: Who was the first person to walk on the moon and when did it happen?
* Expected Response (Ground Truth): The first person to walk on the moon was Neil Armstrong, and it happened on July 20, 1969.
* Response: The first person to walk on the moon was Buzz Aldrin, and it happened on July 20, 1970.
* *Metric Output*: {‘score’: 0, ‘reason’: ‘Neil Armstrong is the first person to walk on moon on July 20, 1969.’}


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