diff --git a/docs/my-website/docs/observability/argilla.md b/docs/my-website/docs/observability/argilla.md
index 8d20b9daa..dad28ce90 100644
--- a/docs/my-website/docs/observability/argilla.md
+++ b/docs/my-website/docs/observability/argilla.md
@@ -4,24 +4,63 @@ import TabItem from '@theme/TabItem';
 
 # Argilla 
 
-Argilla is a tool for annotating datasets. 
+Argilla is a collaborative annotation tool for AI engineers and domain experts who need to build high-quality datasets for their projects.
 
 
+## Getting Started
 
-## Usage 
+To log the data to Argilla, first you need to deploy the Argilla server. If you have not deployed the Argilla server, please follow the instructions [here](https://docs.argilla.io/latest/getting_started/quickstart/).
+
+Next, you will need to configure and create the Argilla dataset.
+
+```python
+import argilla as rg
+
+client = rg.Argilla(api_url="<api_url>", api_key="<api_key>")
+
+settings = rg.Settings(
+    guidelines="These are some guidelines.",
+    fields=[
+        rg.ChatField(
+            name="user_input",
+        ),
+        rg.TextField(
+            name="llm_output",
+        ),
+    ],
+    questions=[
+        rg.RatingQuestion(
+            name="rating",
+            values=[1, 2, 3, 4, 5, 6, 7],
+        ),
+    ],
+)
+
+dataset = rg.Dataset(
+    name="my_first_dataset",
+    settings=settings,
+)
+
+dataset.create()
+```
+
+For further configuration, please refer to the [Argilla documentation](https://docs.argilla.io/latest/how_to_guides/dataset/).
+
+
+## Usage
 
 <Tabs>
 <Tab value="sdk" label="SDK">
 
 ```python
-from litellm import completion
+import os
 import litellm
-import os 
+from litellm import completion
 
 # add env vars
 os.environ["ARGILLA_API_KEY"]="argilla.apikey"
 os.environ["ARGILLA_BASE_URL"]="http://localhost:6900"
-os.environ["ARGILLA_DATASET_NAME"]="my_second_dataset"   
+os.environ["ARGILLA_DATASET_NAME"]="my_first_dataset"   
 os.environ["OPENAI_API_KEY"]="sk-proj-..."
 
 litellm.callbacks = ["argilla"]