aa-rag 0.1.3.1

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.

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Requirements

1. OpenAI API Key:

   • The service supports only the OpenAI interface style.
   • 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.
   • For complete details on how to configure the application using environment variables and a .env file, please see the Configuration Parameters document.

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Installation

Installation via PyPI

Install the package from PyPI:

pip install aa-rag

Installation via Source Code

You can choose one of the following installation methods: uv (recommended) or requirements.txt.

Option 1: UV Installation (Recommended)

1. Install uv:

   • On macOS, it is recommended to use Homebrew:

     brew install uv
     

   • For other operating systems, please refer to the uv installation guide.

2. Clone the Repository:

   git clone https://github.com/continue-ai-company/aa_rag.git
   cd aa_rag
   

3. Synchronize Dependencies:

   • Install dependencies as specified in the uv.lock file:

     uv sync
     

   • This command will create the virtual environment in the current project directory and install all necessary dependencies.

Option 2: Installation via requirements.txt

1. Clone the Repository:

   git clone https://github.com/continue-ai-company/aa_rag.git
   cd aa_rag
   

2. Environment Setup:

   • You can use your existing Python environment or create a new one, based on your preference.

3. Install Dependencies:

   pip install -r requirements.txt
   

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Usage

1. Start the Web Server:

   • If you installed the package via PyPI, you can run the server using the following command:

     aarag
     

   • If you installed the package from source code and are using the uv tool, you can run the server using the following command:

     uv run aarag
     

   • If you installed the package from source code and are using the requirements.txt file, you can run the server using the following command:

       source ./.venv/bin/activate
       export PYTHONPATH=$(pwd)/src # Set the PYTHONPATH to the src directory
       python -m aa_rag.main
     

2. Access the API Documentation:

   • Open your browser and navigate to:

   http://localhost:222/docs
   

   • This page provides an interactive Swagger UI to explore and test all available APIs.

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Features

• Full support for 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.