# Information Extraction

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Exclusive to enterprise customers. [Contact us](https://calendly.com/nirmalya-raga/30min?month=2025-09) to activate this feature.
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RagaAI provides metrics for evaluating specific information extraction tasks, in order to quantify the quality and specificity of the retrieval of targeted information from the source documents. Here is a list of available metrics:

{% content-ref url="information-extraction/minea" %}
[minea](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/information-extraction/minea)
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{% content-ref url="information-extraction/subjective-question-correction" %}
[subjective-question-correction](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/information-extraction/subjective-question-correction)
{% endcontent-ref %}

{% content-ref url="information-extraction/precision-k" %}
[precision-k](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/information-extraction/precision-k)
{% endcontent-ref %}

{% content-ref url="information-extraction/chunk-relevance" %}
[chunk-relevance](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/information-extraction/chunk-relevance)
{% endcontent-ref %}

{% content-ref url="information-extraction/entity-co-occurrence" %}
[entity-co-occurrence](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/information-extraction/entity-co-occurrence)
{% endcontent-ref %}

{% content-ref url="information-extraction/fact-entropy" %}
[fact-entropy](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/information-extraction/fact-entropy)
{% endcontent-ref %}