Par. GPT AI Team

How to Set Up ChatGPT Retrieval Plugin?

If you’ve been wondering how to set up the ChatGPT retrieval plugin, you’ve landed in the right spot! The ChatGPT Retrieval Plugin allows you to enhance the capabilities of ChatGPT by integrating it with personal documents or database systems, empowering it to serve as an intelligent assistant, capable of fetching information on demand.

Setting up this plugin requires a few steps, but don’t sweat it! We’re breaking down the process into digestible chunks to walk you through the setup smoothly. So grab your favorite beverage, and let’s dive into the world of ChatGPT and document retrieval!

1. Initial Setup – Prerequisites

Before jumping right into cloning the repository, you’ll want to ensure that your environment is ready for the installation. Here’s the checklist:

  • Install Python 3.10: This is crucial if you haven’t already installed Python 3.10. If you’re still using Python 3.8 or earlier, update immediately to ensure compatibility with the plugin.

You can download Python from the official website. Follow the installation instructions for your operating system – be it Windows, macOS, or Linux. Once done, you can verify your installation by running the following command in your terminal:

python –version

Ensure it returns 3.10.x to confirm that Python is set up correctly.

2. Cloning the Repository

Now, let’s get the ChatGPT Retrieval Plugin onto your system. This requires cloning the repository. Open your terminal and avoid temptation in playing with git clone.

  • Clone the repository: Execute the command below in your terminal to clone the repository.

git clone https://github.com/openai/chatgpt-retrieval-plugin.git

This command copies the ChatGPT Retrieval Plugin files onto your machine. Now, you’re just a couple of steps away from accessing your favorite AI capabilities!

3. Navigating to the Cloned Directory

Once you have the repository cloned successfully, it’s time to get into the directory. Navigate to it using:

cd /path/to/chatgpt-retrieval-plugin

Make sure to replace the given path with the actual path where you cloned the repository. Now, you are in the magical land of the ChatGPT Retrieval Plugin, where the fun really begins!

4. Install Dependencies with Poetry

Once inside the cloned directory, the next step is to install Poetry – an exceptional dependency manager that not only manages your packages but also handles your virtual environments. This keeps your project neat and avoid potential conflicts. Execute the following command:

pip install poetry

Now, let’s create a new virtual environment using Python 3.10. This can be done using:

poetry env use python3.10

This command ensures your environment is set specifically for Python 3.10, aligning it perfectly with the retrieval plugin’s requirements.

5. Activating the Virtual Environment

What good is a virtual environment if you don’t use it, right? Running your projects within this fully isolated environment is crucial. Activate it by executing:

poetry shell

This command spins up your virtual environment, and now you’re ready to install the app dependencies required for the plugin.

6. Installing Application Dependencies

Inside the virtual environment, execute the following command to install all required dependencies for the ChatGPT Retrieval Plugin:

poetry install

This command ensures you have all necessary libraries and dependencies. Now, with everything in place, it’s time to configure your plugin.

7. Create a Bearer Token

The next step is to create a Bearer Token. This token authenticates your requests and grants access to the API. Creating this token is usually done through your API provider’s dashboard. Once created, store it securely, as you’ll need it for the plugin. Remember, this token is like a mystical key to all the magical features of the ChatGPT Retrieval Plugin!

8. Setting Up Environment Variables

Environment variables are like the magic potions that allow your plugin to breathe and interact with other components of your application. You’ll need to set a series of environment variables. Here’s how you do it:

  • Use the following format to export the environment variables:

export DATASTORE=<your_datastore> export BEARER_TOKEN=<your_bearer_token> export OPENAI_API_KEY=<your_openai_api_key>

Make sure to replace the placeholder values with your actual data. The OPENAI_API_KEY is particularly crucial if you want the plugin to communicate with the OpenAI’s API for retrieving information.

9. Advanced Configuration Options

You can also customize other parameters according to your needs:

  • Embedding Dimension: This is crucial if you’re managing textual data. Adjust it based on the embedding model size you want to use:

export EMBEDDING_DIMENSION=256

  • Embedding Model: Customize which embedding model to use:
  • export EMBEDDING_MODEL=text-embedding-3-large

  • Optional settings can be configured depending on your database provider. Each vector database provider has specific settings outlined in the respective setup documentation.
  • 10. Running the Local API

    Brace yourself; we’re nearly there! Now that you have everything set up, it’s time to run the API locally. To bring the API to life, execute:

    poetry run start

    This will start the API, making it accessible at http://0.0.0.0:8000/docs. Here you can interact with the various endpoints, test out the capabilities, and see your API documentation!

    11. Testing the API Endpoints

    Using the documentation, you can explore the available endpoints. This is your playground where you can test how well the ChatGPT Retrieval Plugin interacts with your configured datasource. Just don’t forget to include your bearer token in the request headers to authenticate your queries.

    12. Conclusion: Your New Assistant

    Now that you’ve set up the ChatGPT Retrieval Plugin, congratulations! You are equipped to build custom GPTs that can access and retrieve structured and unstructured data from your documents with remarkable ease.

    The power of the ChatGPT Retrieval Plugin lies not just in its ability to retrieve documents but also in the enhanced workflows it brings to both personal and organizational settings. Whether you want to build an assistant that locates complex data from your databases or a tool that fetches important documents on command, you’ve set the foundation for a formidable system. Take your time exploring, testing, and optimizing the plugin to fit your needs, and watch as your production efficiency soars!

    Remember, the world of AI and information retrieval is vast, and this plugin is your start into transforming the way you interact with data.

    If you have further questions or need guidance, feel free to reach out to the community or delve deeper into the documentation provided in the repository.

    Happy retrieving!

    Laisser un commentaire