Django Ai Assistant

Django AI Assistant is a library that enables developers to integrate large language model (LLM) powered assistants and chatbots into Django projects. It provides tools for building conversational AI, retrieval-augmented generation (RAG), and vector search capabilities directly within the Django ecosystem. Targeted at Django developers of all skill levels, the library abstracts away the complexity of managing LLM APIs, prompt engineering, and vector databases. It offers ready-to-use models, chat sessions, and tools for managing assistant configurations, making it straightforward to add AI features to existing or new Django applications. The core architecture revolves around assistant definitions, conversation history, and retrieval chains. Developers can define assistants with specific system prompts, tool integrations, and memory types, all managed through Django's ORM. The library supports multiple LLM backends (OpenAI, Anthropic, Gemini via LiteLLM) and provides built-in support for vector stores like Chroma, Pinecone, and Qdrant. What sets Django AI Assistant apart is its deep integration with Django's admin and model system. It leverages Django's migration and admin capabilities to manage AI resources, allowing developers to reuse existing Django skills. The library is actively maintained with recent 2026 updates adding new vector store integrations and model support.