aa-rag 0.3.3.2

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

The project build via the uv tool. To install the project from source code, follow these steps:

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.

Optional

If you want to install the package with the online extra, you can use the following command:

pip install "aa-rag[online]" # install package with pip
uv sync --extras online # install package with uv

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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
     

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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