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bikinibottom/AIServerSetup/03-SearXNG/SearXNGSetup.md
2026-01-28 16:54:06 +01:00

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Running SearXNG with Custom Settings in Docker

Overview

This guide walks you through the steps to run a SearXNG instance in Docker using a custom settings.yml configuration file. This setup is ideal for users who want to customize their SearXNG instance without needing to rebuild the Docker image every time they make a change.

Prerequisites

  • Docker: Ensure Docker is installed on your machine. Verify the installation by running docker --version.
  • Git: For cloning the SearXNG repository, make sure Git is installed.

Steps

1. Use the Official Image or Clone the SearXNG Repository

You can pull the official image directly from Docker Hub:

docker pull docker.io/searxng/searxng:latest

2. Customize settings.yml

Place your custom settings.yml file in the directory of your choice. Ensure that this file is configured according to your needs, including enabling JSON responses if required.

3. Run the SearXNG Docker Container

Run the Docker container using your custom settings.yml file. Choose the appropriate command based on whether you are using the official image or a custom build.

For the Official Image:

docker run -d -p 4000:8080 --restart always --name searxng -v ./settings.yml:/etc/searxng/settings.yml searxng/searxng:latest

Command Breakdown:

  • -d: Runs the container in detached mode.
  • -p 4000:8080: Maps port 8080 in the container to port 4000 on your host machine.
  • -v ./settings.yml:/etc/searxng/settings.yml: Mounts the custom settings.yml file into the container.
  • searxng/searxng:latest or searxng/searxng: The Docker image being used.

4. Access SearXNG

Once the container is running, you can access your SearXNG instance by navigating to http://<hostname>:4000 in your web browser.

5. Testing JSON Output

To verify that the JSON output is correctly configured, you can use curl or a similar tool:

curl http://<hostname>:4000/search?q=python&format=json

This should return search results in JSON format.

5. Configuration URL for OpenWebUI

http://:4000/search?q=