AnythingLLM is a versatile full-stack application designed to transform any document, resource, or content into contextual references for Large Language Models (LLMs). It supports a wide range of commercial and open-source LLMs, as well as various vector database solutions, allowing users to build a private ChatGPT-like experience with no compromises. The application can be run locally or hosted remotely, offering intelligent chat capabilities with any provided documents.
Key features include:
- Workspace Management: Organizes documents into workspaces, keeping contexts clean and separate.
- Multi-modal Support: Works with both closed and open-source LLMs.
- AI Agents: Customizable agents that can perform tasks like web browsing.
- Multi-user Support: Docker version includes user management and permissions.
- Document Types: Supports PDF, TXT, DOCX, and more.
- Cloud Deployment: Ready for cloud deployment with various hosting options.
- Cost & Time-saving: Efficient handling of large documents compared to other chat UIs.
AnythingLLM also offers a developer API for custom integrations and supports numerous LLM providers, embedder models, audio transcription, and text-to-speech services. The project is maintained by Mintplex Labs and the community, with deployment options including Docker, AWS, GCP, and more.
Privacy is a priority, with optional telemetry to help improve the tool. Users can opt out if desired. The project is MIT licensed, encouraging contributions and community involvement.