updated docs

Author: penguine-ip

docs/docs/metrics-dag.mdx

@@ -9,7 +9,7 @@ import Equation from "@site/src/components/equation";
 The deep acyclic graph (DAG) metric in `deepeval` is currently the most versatile custom metric for you to easily build deterministic decision trees for evaluation with the help of using LLM-as-a-judge.
 
 :::info
-The `DAGMetric` is a **custom metric based on a LLM-powered decision tree, and gives you more deterministic control** over [`GEval`.](/docs/metrics-llm-evals) You can also use `GEval` within your `DAGMetric`.
+The `DAGMetric` is a **custom metric based on a LLM-powered decision tree, and gives you more deterministic control** over [`GEval`.](/docs/metrics-llm-evals) You can however also use `GEval` within your `DAGMetric`.
 
 ![ok](https://confident-docs.s3.amazonaws.com/dag-formatting-metric.svg)