> 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/rag-metrics/faithfulness.md).
# Faithfulness RAG Metric
**Objective:** This metric determines the *proportion* of facts in the response that originate from the context information. The generated answer is considered faithful if all the claims made can be inferred from the provided context.
**Required Parameters**: `Prompt`, `Response`, `Context`
**Interpretation:**
* Lower faithfulness score indicates the model is not able to focus on the correct context document.
* Lower faithfulness score indicates the model is hallucinating and generating information not present in the context documents.
* Lower faithfulness score indicates the Knowledge Base has contradicting information regarding the topic referred to in the prompt.
**Code Execution:**
```python
metrics=[
{"name": "Faithfulness", "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 discovered penicillin?
* Context: Penicillin is one of the most important discoveries in medical science, marking the beginning of the antibiotic era. It was discovered in 1928 by Alexander Fleming, a Scottish bacteriologist.
* Response: Alexander Dumas discovered penicillin.
* *Metric Output*: {‘score’: 0, ‘reason’: ‘As per context penicillin was discovered by Alexander Fleming’}
---
# Agent Instructions
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## Querying This Documentation
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```
GET https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/rag-metrics/faithfulness.md?ask=&goal=
```
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