aa-rag 0.1.2.1

RAG server for ai2apps.

aa-rag

Description

RAG Server for AI2APPS. This server provides a Retrieval-Augmented Generation (RAG) API to support advanced AI applications. It leverages OpenAI's API for its core functionality.

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Requirements

The current service supports only the OpenAI interface style

1. OpenAI API Key:

   • Ensure your .env file includes the following line:

     OPENAI_API_KEY=<your_openai_api_key>
     

2. Environment Setup:

   • Make sure your environment is properly configured to load environment variables from a .env file.

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Installation

1. Install the package from PyPI:

   pip install aa-rag
   

2. Set up the .env file:

   • Create a .env file in the root directory of your project.
   • Add your OpenAI API key as described in the Requirements section.

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Usage

1. Start the Web Server:

   • Run the following command:

     aarag
     

   • if you want to change the port or host, you can use like this:

     aarag -server.host 127.0.0.1 --server.port 8788
     

   You can also run aarag -h to see the available options.

3. Access the API Documentation:

   • Once the server starts, open your browser and navigate to:

     http://localhost:222/docs
     

   • This page provides an interactive Swagger UI to explore and test all available APIs.
   • You can navigate to the /default endpoint to watch the default parameters and the available models.

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Features

• Fully supports OpenAI API integrations.
• Interactive API documentation using Swagger UI.
• Simplified RAG workflow for AI applications.

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GitHub

Find the source code and related projects on GitHub and AI2APPS.

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License

This project is licensed under the MIT License.

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Support

For any issues or feature requests, please open a ticket in the GitHub Issues.

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Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository.
2. Create a feature branch.
3. Commit your changes.
4. Submit a pull request.

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