anything llm
v1.2.4
AnythingLLM: The all-in-one AI app you were looking for.
Chat with your docs, use AI Agents, hyper-configurable, multi-user, & no frustrating set up required.
| | Docs | Hosted Instance
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AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now
A full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.
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.
Large Language Models (LLMs):
Embedder models:
Audio Transcription models:
TTS (text-to-speech) support:
STT (speech-to-text) support:
Vector Databases:
This monorepo consists of three main sections:
frontend: A viteJS + React frontend that you can run to easily create and manage all your content the LLM can use.server: A NodeJS express server to handle all the interactions and do all the vectorDB management and LLM interactions.collector: NodeJS express server that process and parses documents from the UI.docker: Docker instructions and build process + information for building from source.embed: Submodule for generation & creation of the web embed widget.browser-extension: Submodule for the chrome browser extension.Mintplex Labs & the community maintain a number of deployment methods, scripts, and templates that you can use to run AnythingLLM locally. Refer to the table below to read how to deploy on your preferred environment or to automatically deploy.
| Docker | AWS | GCP | Digital Ocean | Render.com |
|---|---|---|---|---|
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| Railway | RepoCloud | Elestio |
|---|---|---|
or set up a production AnythingLLM instance without Docker →
yarn setup To fill in the required .env files you'll need in each of the application sections (from root of repo).
server/.env.development is filled or else things won't work right.yarn dev:server To boot the server locally (from root of repo).yarn dev:frontend To boot the frontend locally (from root of repo).yarn dev:collector To then run the document collector (from root of repo).Learn about documents
Learn about vector caching
AnythingLLM by Mintplex Labs Inc contains a telemetry feature that collects anonymous usage information.
We use this information to help us understand how AnythingLLM is used, to help us prioritize work on new features and bug fixes, and to help us improve AnythingLLM's performance and stability.
Set DISABLE_TELEMETRY in your server or docker .env settings to "true" to opt out of telemetry. You can also do this in-app by going to the sidebar > Privacy and disabling telemetry.
We will only track usage details that help us make product and roadmap decisions, specifically:
You can verify these claims by finding all locations Telemetry.sendTelemetry is called. Additionally these events are written to the output log so you can also see the specific data which was sent - if enabled. No IP or other identifying information is collected. The Telemetry provider is PostHog - an open-source telemetry collection service.
View all telemetry events in source code
- Copyright © 2024 Mintplex Labs.
This project is MIT licensed.
