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Dismiss alert {{ message }} Mintplex-Labs / anything-llm Public * * Notifications You must be signed in to change notification settings * Fork 2.1k * Star 20k The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities. anythingllm.com License MIT license 20k stars 2.1k forks Branches Tags Activity Star Notifications You must be signed in to change notification settings * Code * Issues 163 * Pull requests 11 * Actions * Projects 0 * Security * Insights Additional navigation options * Code * Issues * Pull requests * Actions * Projects * Security * Insights Mintplex-Labs/anything-llm This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. master BranchesTags Go to file Code Folders and files Last Last Name Name commit commit message date Latest commit History 951 Commits .devcontainer .devcontainer .github .github .vscode .vscode browser-extension @ browser-extension @ f2715e9 f2715e9 cloud-deployments cloud-deployments collector collector docker docker embed @ 22a0848 embed @ 22a0848 frontend frontend images images locales locales server server .dockerignore .dockerignore .editorconfig .editorconfig .gitattributes .gitattributes .gitignore .gitignore .gitmodules .gitmodules .hadolint.yaml .hadolint.yaml .nvmrc .nvmrc .prettierignore .prettierignore .prettierrc .prettierrc BARE_METAL.md BARE_METAL.md LICENSE LICENSE README.md README.md SECURITY.md SECURITY.md eslint.config.js eslint.config.js package.json package.json pull_request_template.md pull_request_template.md View all files Repository files navigation * README * MIT license * Security AnythingLLM logo Mintplex-Labs%2Fanything-llm | Trendshift 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. Discord | License | Docs | Hosted Instance English * Jian Ti Zhong Wen * Ri Ben Yu 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. Chatting Watch the demo! Watch the video 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 * 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 Docker version only * 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! Supported LLMs, Embedder Models, Speech models, and Vector Databases Large Language Models (LLMs): * Any open-source llama.cpp compatible model * OpenAI * OpenAI (Generic) * Azure OpenAI * AWS Bedrock * Anthropic * Google Gemini Pro * Hugging Face (chat models) * Ollama (chat models) * LM Studio (all models) * LocalAi (all models) * Together AI (chat models) * Perplexity (chat models) * OpenRouter (chat models) * Mistral * Groq * Cohere * KoboldCPP * LiteLLM * Text Generation Web UI Embedder models: * AnythingLLM Native Embedder (default) * OpenAI * Azure OpenAI * LocalAi (all) * Ollama (all) * LM Studio (all) * Cohere Audio Transcription models: * AnythingLLM Built-in (default) * OpenAI TTS (text-to-speech) support: * Native Browser Built-in (default) * PiperTTSLocal - runs in browser * OpenAI TTS * ElevenLabs STT (speech-to-text) support: * Native Browser Built-in (default) Vector Databases: * LanceDB (default) * Astra DB * Pinecone * Chroma * Weaviate * Qdrant * Milvus * Zilliz Technical Overview 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. Self Hosting 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 Deploy on Deploy on Deploy on Deploy on Deploy on Docker AWS GCP DigitalOcean Render.com Railway RepoCloud Elestio Deploy on Railway Deploy on RepoCloud Deploy on Elestio or set up a production AnythingLLM instance without Docker - How to setup for development * yarn setup To fill in the required .env files you'll need in each of the application sections (from root of repo). + Go fill those out before proceeding. Ensure 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 Telemetry & Privacy AnythingLLM by Mintplex Labs Inc contains a telemetry feature that collects anonymous usage information. More about Telemetry & Privacy for AnythingLLM Why? 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. Opting out 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. What do you explicitly track? We will only track usage details that help us make product and roadmap decisions, specifically: * Typ of your installation (Docker or Desktop) * When a document is added or removed. No information about the document. Just that the event occurred. This gives us an idea of use. * Type of vector database in use. Let's us know which vector database provider is the most used to prioritize changes when updates arrive for that provider. * Type of LLM in use. Let's us know the most popular choice and prioritize changes when updates arrive for that provider. * Chat is sent. This is the most regular "event" and gives us an idea of the daily-activity of this project across all installations. Again, only the event is sent - we have no information on the nature or content of the chat itself. 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 Contributing * create issue * create PR with branch name format of - * LGTM from core-team Contributors anythingllm contributors Star History Chart More Products * VectorAdmin: An all-in-one GUI & tool-suite for managing vector databases. * OpenAI Assistant Swarm: Turn your entire library of OpenAI assistants into one single army commanded from a single agent. [6874747073] --------------------------------------------------------------------- Copyright (c) 2024 Mintplex Labs. This project is MIT licensed. About The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities. anythingllm.com Topics desktop-app webui ai-agents multimodal rag vector-database llm llamacpp chromadb localai local-llm ollama llm-webui lmstudio llm-application crewai crewaiui llama3 Resources Readme License MIT license Security policy Security policy Activity Custom properties Stars 20k stars Watchers 160 watching Forks 2.1k forks Report repository Releases 5 AnythingLLM v1.2.1 Latest Aug 19, 2024 + 4 releases Sponsor this project Sponsor Learn more about GitHub Sponsors Packages 0 Contributors 86 * * * * * * * * * * * * * * + 72 contributors Languages * JavaScript 97.1% * CSS 2.4% * Other 0.5% Footer (c) 2024 GitHub, Inc. Footer navigation * Terms * Privacy * Security * Status * Docs * Contact * Manage cookies * Do not share my personal information You can't perform that action at this time.