https://github.com/orangewise/llm-azure-api-embed

Create embeddings using the Azure API
https://github.com/orangewise/llm-azure-api-embed

Last synced: 8 days ago
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Create embeddings using the Azure API

• Host: GitHub
• URL: https://github.com/orangewise/llm-azure-api-embed
• Owner: orangewise
• License: apache-2.0
• Created: 2024-06-26T09:06:32.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-26T11:01:11.000Z (5 months ago)
• Last Synced: 2024-11-04T04:18:39.731Z (12 days ago)
• Language: Python
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# llm-azure-api-embed

[![PyPI](https://img.shields.io/pypi/v/llm-azure-api-embed.svg)](https://pypi.org/project/llm-azure-api-embed/)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/orangewise/llm-azure-api-embed/blob/main/LICENSE)

Create embeddings using the Azure OpenAI API

## Installation

Install this plugin in the same environment as [LLM](https://llm.datasette.io/).

```bash

llm install llm-azure-api-embed

```

## Usage

Setup your deployemnts in ``

```json

[

  {

    "deployment": "ada",

    "api_base": "https://.openai.azure.com",

    "api_version": "2023-05-15",

    "api_key_name": ""

  }

]

```

You can then use your Azure embedding models like this:

```bash

llm embed -m azure/ada -c "hello world"

```

See [the LLM embeddings documentation](https://llm.datasette.io/en/stable/embeddings/index.html) for more you can do with the tool.

## Development

### Install 

```

llm install -e .

```

Confirm installation:

```

llm plugins

```