AnythingLLM is a versatile desktop application available for Mac, Windows, and Linux, designed to download and locally run any Large Language Model (LLM) while ensuring private document chats. It stores the LLM, embeddings, and vector database locally, allowing complete offline functionality by default. For enhanced capabilities, AnythingLLM integrates with over 20 providers, enabling users to access more powerful models, embedders, and vector databases. It includes Ollama for RAG chatbot functionality without additional downloads, ensuring zero setup and maximum privacy. Users can upload various file types like PDFs, mp3s, and text files seamlessly. Additionally, AnythingLLM offers a developer-friendly API for custom integrations and supports data connectors for platforms such as GitHub and YouTube. As an MIT Licensed and fully open-source project, users have the flexibility to modify the application according to their needs. For multi-user environments, AnythingLLM provides a self-hosted Docker image that supports concurrent users, making it a comprehensive solution for RAG-based chatbots.