PaperQA with LiteLLM and Ollama - SuperHuman RAG

Introduction

This tutorial outlines the process of locally installing PaperQA2 with LiteLLM and Ollama, a powerful package designed for high-accuracy retrieval augmented generation (RAG) on PDFs and text files, particularly within scientific literature. By following these steps, you will set up a robust system for extracting and utilizing information from documents effectively.

Step 1: System Requirements

Before installation, ensure your system meets the following requirements:

• Suitable hardware (preferably with a GPU for better performance)
• Python (version 3.7 or higher)
• Access to a terminal or command prompt

Step 2: Install Required Software

1. Install Python: If you haven't installed Python yet, download it from the official site and follow the installation instructions.
2. Install Git: Ensure you have Git installed to clone the repository. Download it from git-scm.com.
3. Install Virtual Environment:
   • Open your terminal.
   • Run the following command:

     pip install virtualenv
     

Step 3: Set Up a Virtual Environment

1. Create a Virtual Environment:
   • Navigate to your desired project directory:

     cd path/to/your/project
     

   • Create a virtual environment:

     virtualenv venv
     

2. Activate the Virtual Environment:
   • On Windows:

     venv\Scripts\activate
     

   • On macOS/Linux:

     source venv/bin/activate
     

Step 4: Clone the PaperQA Repository

1. Clone the Repository:
   • Run the following command:

     git clone https://github.com/Future-House/paper-qa
     

2. Navigate into the Cloned Directory:

   cd paper-qa
   

Step 5: Install PaperQA2 Dependencies

1. Install Required Python Packages:
   • Use pip to install the necessary packages:

     pip install -r requirements.txt
     

   • This command will install all dependencies listed in the requirements.txt file.

Step 6: Configure LiteLLM and Ollama

1. Follow Specific Setup Instructions:
   • Consult the documentation provided in the cloned repository for details on configuring LiteLLM and Ollama.
   • Ensure you have the necessary models and configurations in place for optimal performance.

Step 7: Test Your Installation

1. Run Sample Commands:
   • Test the installation by running sample commands provided in the documentation.
   • Ensure that you can load a PDF or text file and perform RAG tasks without errors.

Conclusion

You have now successfully installed PaperQA2 with LiteLLM and Ollama on your local machine. This setup allows you to effectively perform retrieval augmented generation tasks on scientific literature. For further exploration, consider diving into the documentation for advanced features and optimizations. Happy researching!