Video coming soon…

🤖 Setup Langflow — Visual Builder for LLM Apps

Deploy Langflow on Ubuntu with Docker — a visual, drag-and-drop builder for LLM applications and agents, letting you prototype AI flows without writing code, on port 7860.

⚠️ 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 script — one command deploys Langflow on port 7860. Build LLM flows visually, then expose them as APIs.
View on GitHub

Quick Install:

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

Tutorial Steps

1 Download the Script

wget https://raw.githubusercontent.com/mhmdali94/Docker/main/ai/langflow/langflow-ubuntu.sh

2 Make it Executable

chmod +x langflow-ubuntu.sh

3 Run the Installer

The script installs Docker if needed and starts Langflow on port 7860, with flows and configuration kept in the ./data volume.

sudo bash langflow-ubuntu.sh

4 Open the Visual Builder

Browse to Langflow and start building a flow by dragging components onto the canvas and wiring them together:

http://<your-server-ip>:7860

Ports Used

PortPurpose
7860Visual builder + exposed flow APIs (host → container 7860)
./dataFlows and configuration (holds API keys)

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

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                      Frequently Asked Questions