AnythingLLM
Self-HostedSelf-hosted platform for building private custom LLMs with your data
Overview
AnythingLLM is a self-hosted GenAI tool that lets you create context-aware language models using private documents (PDFs, URLs, text files). It keeps data local—no third-party API reliance—ensuring full privacy. Deploy via Docker for quick setup or bare metal for control. Features include document ingestion, support for GPT-4/Llama 2/Mistral, and customizable AI assistants. Ideal for teams needing secure, tailored AI without exposing sensitive information to external services.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
anything_llm:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: anything-llm
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Ingest private documents (PDFs, URLs, text files)
- Self-hosted with Docker or bare metal
- Supports open-source (Llama 2, Mistral) and proprietary (GPT-4) LLMs
- Build context-aware custom AI assistants
Frequently Asked Questions
? Is AnythingLLM hard to install?
No—Docker deployment is quick and straightforward for most users. Bare-metal setups require Node.js and PostgreSQL, but detailed documentation guides you through each step.
? Is it a good alternative to ChatGPT Custom GPTs?
Yes—unlike ChatGPT Custom GPTs, AnythingLLM keeps data local, making it better for sensitive info. It also supports more models and self-hosting, though it lacks ChatGPT’s seamless SaaS experience.
? Is AnythingLLM completely free?
Yes—AnythingLLM is open-source under the MIT License, so you can use, modify, and self-host it at no cost with no paid tiers.
Top Alternatives
People Also Ask about AnythingLLM
Tool Info
Pros
- ⊕ Data stays local (no external API exposure)
- ⊕ Flexible model integration options
Cons
- ⊖ Requires server/hardware resources for hosting
- ⊖ Technical setup needed for non-Docker users