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(docs) update embedding docs

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ishaan-jaff 2023-10-14 10:27:22 -07:00
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docs/my-website/docs/embedding/supported_embedding.md
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@ -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