🤖 AnythingLLM

The all-in-one AI app you were looking for

★ 27.8k LLM AI RAG Chatbot

Homepage · Source code

Author: Mintplex Labs Inc · License: MIT

Version: 1.3 · Updated

About AnythingLLM

Turn any document, resource, or piece of content into context that any LLM can use as references during chatting.

Chatting


Product Overview

AnythingLLM is a full-stack application where you can use commercial off-the-shelf LLMs or popular open source LLMs and vectorDB solutions to build a private ChatGPT with no compromises that you can run locally as well as host remotely and be able to chat intelligently with any documents you provide it.

AnythingLLM divides your documents into objects called workspaces. A Workspace functions a lot like a thread, but with the addition of containerization of your documents. Workspaces can share documents, but they do not talk to each other so you can keep your context for each workspace clean.

Cool features of AnythingLLM

  • 🆕 Custom AI Agents
  • 🖼️ Multi-modal support (both closed and open-source LLMs!)
  • 👤 Multi-user instance support and permissioning Docker version only
  • 🦾 Agents inside your workspace (browse the web, run code, etc)
  • 💬 Custom Embeddable Chat widget for your website
  • 📖 Multiple document type support (PDF, TXT, DOCX, etc)
  • Simple chat UI with Drag-n-Drop funcitonality and clear citations.
  • 100% Cloud deployment ready.
  • Works with all popular closed and open-source LLM providers.
  • Built-in cost & time-saving measures for managing very large documents compared to any other chat UI.
  • Full Developer API for custom integrations!
  • Much more...install and find out!

Environment variables

View environment variables
PROJECT
  anythingllm
DOMAIN
  stack.localhost
JWT_SECRET
  "make this a large list of random numbers and letters 20+"
LLM_PROVIDER
  ollama
OLLAMA_BASE_PATH
  http://host.docker.internal:11434
OLLAMA_MODEL_PREF
  llama3.2
OLLAMA_MODEL_TOKEN_LIMIT
  4096
EMBEDDING_ENGINE
  ollama
EMBEDDING_BASE_PATH
  http://host.docker.internal:11434
EMBEDDING_MODEL_PREF
  nomic-embed-text:latest
EMBEDDING_MODEL_MAX_CHUNK_LENGTH
  8192

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