🎬

Video tutorial coming soon.

🤖 Setup AnythingLLM — Private AI on Your Documents

Deploy AnythingLLM on Ubuntu with Docker — a fully private ChatGPT-like platform that chats with your documents. Connect local Ollama models or cloud APIs. Multi-user workspaces, RAG pipelines, and complete data privacy.

⚠️ This script is provided for demo and testing purposes only. Not intended for production use.

📦 Resources & Setup Scripts

Grab the automated bash script from GitHub to follow along with the video.

Automated install — AnythingLLM with Ollama integration in one command.
View on GitHub

Quick Install:

wget https://raw.githubusercontent.com/mhmdali94/Docker/main/ai/anythingllm/anythingllm-ubuntu.sh
chmod +x anythingllm-ubuntu.sh
sudo bash anythingllm-ubuntu.sh

Tutorial Steps

1 Download & Run the Script

The script installs Docker and deploys AnythingLLM. Make sure Ollama is already running on port 11434 if you want local models.

wget https://raw.githubusercontent.com/mhmdali94/Docker/main/ai/anythingllm/anythingllm-ubuntu.sh
chmod +x anythingllm-ubuntu.sh
sudo bash anythingllm-ubuntu.sh

2 Complete the Setup Wizard

Open your browser and navigate to AnythingLLM. Follow the setup wizard to choose your LLM provider and create an admin account:

http://<your-server-ip>:3001

3 Connect Your LLM Provider

In Settings → LLM Preference, select Ollama and enter your server address. For cloud models, enter your OpenAI or Anthropic API key.

4 Create a Workspace & Upload Documents

Create a workspace, upload your PDFs, Word docs, or text files, then start chatting. AnythingLLM automatically indexes and embeds your documents for accurate retrieval.

Ports Used

PortPurpose
3001AnythingLLM Web UI

Overview

Why Use It

When You Need It

    Who Should Use It

      Real Use Cases

        Main Features

          How to Use After Installation

            Security Best Practices

              Ports and Firewall Notes

              Backup and Maintenance

                Common Mistakes

                  Troubleshooting

                    Alternatives

                    When Not to Use It

                    Need Help Setting Up AnythingLLM?

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                      Frequently Asked Questions