updated docs

docs/docs/metrics-ragas.mdx

@@ -56,3 +56,16 @@ There are three optional parameters when creating a `RagasMetric`:
 
 - [Optional] `threshold`: a float representing the minimum passing threshold, defaulted to 0.5.
 - [Optional] `model`: a string specifying which of OpenAI's GPT models to use, **OR** any one of langchain's [chat models](https://python.langchain.com/docs/integrations/chat/) of type `BaseChatModel`. Defaulted to 'gpt-3.5-turbo'.
+
+:::note
+You can also choose to import and evaluate using each metric individually:
+
+```python
+from deepeval.metrics.ragas import RAGASAnswerRelevancyMetric
+from deepeval.metrics.ragas import RAGASFaithfulnessMetric
+from deepeval.metrics.ragas import RAGASContextualRecallMetric
+from deepeval.metrics.ragas import RAGASContextualPrecisionMetric
+```
+
+These metrics accept the same arguments as the `RagasMetric`.
+:::