AnythingLLM

AnythingLLM is a comprehensive AI application that allows users to chat with documents using any large language model while maintaining full privacy. It supports both local and cloud-based LLMs, offering flexibility for individuals and teams who need to interact with their documents through natural language queries. The platform provides desktop, self-hosted Docker, cloud, and mobile deployment options, making it accessible across various use cases and technical requirements.

Key Features:

• Multi-LLM Support - Connect to any language model including local options like Ollama, LM Studio, and KobaldCPP, or cloud providers like OpenAI, Anthropic, Google Gemini, Mistral AI, Groq, and many more.

• RAG (Retrieval-Augmented Generation) - Upload and embed documents to create knowledge bases that AI can reference during conversations, enabling accurate responses grounded in your specific data.

• AI Agents - Build and deploy AI agents with custom skills, browser tools, and agent flows that can automate complex workflows including web scraping, API calls, and file operations.

• MCP Compatibility - Full Model Context Protocol support for both Docker and Desktop deployments, enabling integration with the broader MCP ecosystem.

• Vector Database Flexibility - Choose from multiple vector database options including LanceDB, Chroma, Milvus, Pinecone, QDrant, Weaviate, and Zilliz for document embedding storage.

• Multi-User & Admin Controls - Support for multiple users with full tenant isolation, fine-grained admin controls, and role-based access management.

• Embedded Chat Widgets - Deploy customizable chat widgets that can be embedded into websites and applications.

• Browser Extension - Extend functionality with the AnythingLLM browser extension for seamless web integration.

• Appearance Customization - White-label the application with custom branding, domains, and styling.

• API Access - Built-in API for programmatic access and integration with other systems.

Getting Started: Download the desktop application for Windows, macOS, or Linux for immediate local use with no account required. For team deployments, use Docker for self-hosting or subscribe to the cloud service for a managed private instance. Configure your preferred LLM provider, upload documents to workspaces, and start chatting with your data through the intuitive interface.