Tagged As
chat
rag
agents
document-management
llm
vector-database
multi-modal
mcp

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.

Features

  • 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).