Added AI server setup : to be reviewed

On host/AIServerSetup/03-SearXNG/SearXNGSetup.md

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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:
+
+```bash
+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:
+
+```bash
+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:
+
+```bash
+curl http://<hostname>:4000/search?q=python&format=json
+```
+
+This should return search results in JSON format.
+
+### 5. Configuration URL for OpenWebUI
+
+http://<hostname>:4000/search?q=<query>