This project enables Django developers to integrate AI assistants, leveraging Large Language Models (LLMs) for building intelligent applications. It facilitates AI tool calling and Retrieval-Augmented Generation (RAG) within the Django framework, allowing AI assistants to interact with Django methods and perform user-defined tasks.

How It Works

The library acts as a bridge between LLMs and Django applications, enabling AI models to securely call Python functions defined within the Django project. This is achieved through an AI tool-calling mechanism, allowing the LLM to understand and execute specific Django functionalities. RAG is supported to enhance the AI's knowledge base with custom data.

Quick Start & Requirements

• Install via pip: pip install django-ai-assistant
• Requires Python 3.8+ and Django 4.0+.
• Official documentation: https://vintasoftware.github.io/django-ai-assistant/
• Demo video: https://github.com/vintasoftware/django-ai-assistant/assets/397989/715d7608-e657-4dce-a7be-2909679f814b

Highlighted Details

• Enables AI assistants to call Django methods.
• Supports Retrieval-Augmented Generation (RAG).
• Facilitates building state-of-the-art AI assistants.

Maintenance & Community

Maintained by Vinta Software. Community support available via Discord. Contributions are welcome via GitHub issues and discussions.

Licensing & Compatibility

The license is not explicitly stated in the provided README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The README does not specify the exact license, which may impact commercial adoption. Further details on supported LLM providers or specific RAG implementations are not provided.