AnythingLLM is an open-source, all-in-one AI chat application with built-in RAG (Retrieval Augmented Generation) capabilities. It provides a user-friendly interface for document management, LLM integration, and AI agent creation - all without complex setup. The application supports both local and cloud-based deployments, making it ideal for teams and organizations seeking a private, customizable AI solution.

• Document Processing: Upload and chat with PDFs, DOCX, TXT, CSV, and web pages using efficient chunking and embedding techniques.
• Multi-Model Support: Compatible with 20+ LLM providers including OpenAI, Anthropic, Google Gemini, Hugging Face, local models via Ollama, LM Studio, and LocalAI.
• Conversation Modes: Choose between conversation mode (retains context) or query mode (single-turn Q&A) with in-chat citations.
• Vector Database Integration: Native support for LanceDB (default), Pinecone, Chroma, Weaviate, Qdrant, Milvus, Zilliz, and AstraDB.
• Embedding Options: Built-in native embedder or integration with OpenAI, Azure, Cohere, and other providers.
• Workspace Organization: Arrange documents into isolated workspaces for contextual relevance and manage permissions.
• AI Agents: Create custom AI agents with specialized skills including web browsing, code execution, and data retrieval.
• Multi-User Support: Role-based permissions, user accounts, and workspace access controls in Docker deployments.
• Multi-Modal Capability: Support for both text and image-based interactions with compatible models.
• Automatic Document Sync: Monitor document changes and update embeddings across workspaces.
• API Access: Developer API for custom integrations and automation.
• Appearance Customization: Tailor the UI with custom logos, welcome messages, and branding (Docker version).