diff --git a/docs/my-website/docs/embedding/supported_embedding.md b/docs/my-website/docs/embedding/supported_embedding.md
index 00948a5b1..2ee71fbd2 100644
--- a/docs/my-website/docs/embedding/supported_embedding.md
+++ b/docs/my-website/docs/embedding/supported_embedding.md
@@ -1,6 +1,6 @@
 # Embedding Models
 
-## Usage
+## Quick Start
 ```python
 from litellm import embedding
 import os
@@ -10,12 +10,29 @@ response = embedding('text-embedding-ada-002', input=["good morning from litellm
 
 ## OpenAI Embedding Models
 
+### Usage
+```python
+from litellm import embedding
+import os
+os.environ['OPENAI_API_KEY'] = ""
+response = embedding('text-embedding-ada-002', input=["good morning from litellm"])
+```
+
 | Model Name           | Function Call                               | Required OS Variables                |
 |----------------------|---------------------------------------------|--------------------------------------|
 | text-embedding-ada-002 | `embedding('text-embedding-ada-002', input)` | `os.environ['OPENAI_API_KEY']`       |
 
 ## Azure OpenAI Embedding Models
 
+### API keys
+This can be set as env variables or passed as **params to litellm.embedding()**
+```python
+import os
+os.environ['AZURE_API_KEY'] = 
+os.environ['AZURE_API_BASE'] = 
+os.environ['AZURE_API_VERSION'] = 
+```
+
 ### Usage
 ```python
 from litellm import embedding
@@ -29,15 +46,16 @@ response = embedding(
 print(response)
 ```
 
-| Model Name           | Function Call                               | Required OS Variables                |
-|----------------------|---------------------------------------------|--------------------------------------|
-| text-embedding-ada-002 | `embedding('embedding-model-deployment', input=input, custom_llm_provider="azure")` | `os.environ['AZURE_API_KEY']`,`os.environ['AZURE_API_BASE']`,`os.environ['AZURE_API_VERSION']` |
+| Model Name           | Function Call                               |
+|----------------------|---------------------------------------------|
+| text-embedding-ada-002 | `embedding(model="azure/<your deployment name>", input=input)` |
 
 h/t to [Mikko](https://www.linkedin.com/in/mikkolehtimaki/) for this integration
 
 ## Cohere Embedding Models
 https://docs.cohere.com/reference/embed
 
+### Usage
 ```python
 from litellm import embedding
 import os
@@ -54,6 +72,7 @@ response = embedding('embed-english-v2.0', input=["good morning from litellm"])
 ## HuggingFace Embedding Models
 LiteLLM supports all Feature-Extraction Embedding models: https://huggingface.co/models?pipeline_tag=feature-extraction
 
+### Usage
 ```python
 from litellm import embedding
 import os