AnythingLLM is a comprehensive, self-hostable AI application designed for individuals and teams to build private, document-aware ChatGPT-like experiences. It offers a user-friendly interface for chatting with documents, leveraging Retrieval-Augmented Generation (RAG), AI agents, and extensive customization options, with a focus on ease of setup and broad compatibility.

How It Works

AnythingLLM employs a monorepo architecture with distinct frontend (React/ViteJS), server (Node.js/Express), and document collector components. Documents are segmented into "workspaces" for isolated context management. The system supports a wide array of LLMs, embedders, and vector databases, allowing users to select their preferred stack for local or remote deployment.

Quick Start & Requirements

• Install: Download desktop app or use Docker.
• Prerequisites: Node.js (for development), Docker (for containerized deployment).
• Setup: yarn setup (development), docker compose up (Docker).
• Docs: https://docs.anythingllm.com/
• Demo: https://youtu.be/f95rGD9trL0

Highlighted Details

• Supports over 30 LLM providers (OpenAI, Ollama, Llama.cpp, Groq, etc.) and 8 vector databases (LanceDB, Pinecone, Weaviate, etc.).
• Features a no-code AI agent builder and multi-modal support for both open and closed-source models.
• Offers multi-user support with permissions, an embeddable chat widget, and a developer API.
• Includes built-in cost and time-saving measures for large document management.

Maintenance & Community

Maintained by Mintplex Labs. Community support channels are not explicitly listed, but contribution guidelines are provided.

Licensing & Compatibility

MIT License. Fully compatible with commercial and closed-source applications.

Limitations & Caveats

Multi-user support and the embeddable chat widget are only available in the Docker version. The project includes opt-out telemetry for usage analytics, which is processed by PostHog.