-**Privacy and Data Security:** We prioritize your privacy and data security above all. Please be reassured that all data entered into the Ollama Web UI is stored locally on your device. Our system is designed to be privacy-first, ensuring that no external requests are made, and your data does not leave your local environment. We are committed to maintaining the highest standards of data privacy and security, ensuring that your information remains confidential and under your control.
### Installing Both Ollama and Ollama Web UI Using Provided run-compose.sh bash script
Also available on Windows under any docker-enabled WSL2 linux distro (you have to enable it from Docker Desktop)
### Installing Ollama Web UI Only
Simply run the following command:
Grant execute permission to script
```bash
chmod +x run-compose.sh
```
#### Prerequisites
For CPU only container
```bash
./run-compose.sh
```
Make sure you have the latest version of Ollama installed before proceeding with the installation. You can find the latest version of Ollama at [https://ollama.ai/](https://ollama.ai/).
For GPU enabled container (to enable this you must have your gpu driver for docker, it mostly works with nvidia so this is the official install guide: [nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html))
Warning! A GPU-enabled installation has only been tested using linux and nvidia GPU, full functionalities are not guaranteed under Windows or Macos or using a different GPU
```bash
./run-compose.sh --enable-gpu
```
##### Checking Ollama
Note that both the above commands will use the latest production docker image in repository, to be able to build the latest local version you'll need to append the `--build` parameter, for example:
```bash
./run-compose.sh --enable-gpu--build
```
After installing Ollama, verify that Ollama is running by accessing the following link in your web browser: [http://127.0.0.1:11434/](http://127.0.0.1:11434/). Note that the port number may differ based on your system configuration.
### Installing Both Ollama and Ollama Web UI Using Docker Compose
To install using docker compose script as CPU-only installation simply run this command
```bash
docker compose up -d
```
#### Using Docker 🐳
for a GPU-enabled installation (provided you installed the necessary gpu drivers and you are using nvidia)
```bash
docker compose -f docker-compose.yaml -f docker-compose.gpu.yaml up -d
```
**Important:** When using Docker to install Ollama Web UI, make sure to include the `-v ollama-webui:/app/backend/data` in your Docker command. This step is crucial as it ensures your database is properly mounted and prevents any loss of data.
If Ollama is hosted on your local machine and accessible at [http://127.0.0.1:11434/](http://127.0.0.1:11434/), run the following command:
### Installing Both Ollama and Ollama Web UI Using Kustomize
Check the `kubernetes/helm/values.yaml` file to know which parameters are available for customization
This command will install both Ollama and Ollama Web UI on your system.
### Installing Ollama Web UI Only
##### Enable GPU
#### Prerequisites
Use the additional Docker Compose file designed to enable GPU support by running the following command:
Make sure you have the latest version of Ollama installed before proceeding with the installation. You can find the latest version of Ollama at [https://ollama.ai/](https://ollama.ai/).
```bash
docker compose -f docker-compose.yaml -f docker-compose.gpu.yaml up -d--build
```
##### Checking Ollama
##### Expose Ollama API outside the container stack
After installing Ollama, verify that Ollama is running by accessing the following link in your web browser: [http://127.0.0.1:11434/](http://127.0.0.1:11434/). Note that the port number may differ based on your system configuration.
Deploy the service with an additional Docker Compose file designed for API exposure:
#### Using Docker 🐳
```bash
docker compose -f docker-compose.yaml -f docker-compose.api.yaml up -d--build
```
**Important:** When using Docker to install Ollama Web UI, make sure to include the `-v ollama-webui:/app/backend/data` in your Docker command. This step is crucial as it ensures your database is properly mounted and prevents any loss of data.
#### Using Provided `run-compose.sh` Script (Linux)
If Ollama is hosted on your local machine and accessible at [http://127.0.0.1:11434/](http://127.0.0.1:11434/), run the following command:
Also available on Windows under any docker-enabled WSL2 linux distro (you have to enable it from Docker Desktop)
Simply run the following command to grant execute permission to script:
Your Ollama Web UI should now be hosted at [http://localhost:3000](http://localhost:3000) and accessible over LAN (or Network). Enjoy! 😄
#### Accessing External Ollama on a Different Server
##### Enable GPU
Change `OLLAMA_API_BASE_URL` environment variable to match the external Ollama Server url:
For GPU enabled container (to enable this you must have your gpu driver for docker, it mostly works with nvidia so this is the official install guide: [nvidia-container-toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html))
Warning! A GPU-enabled installation has only been tested using linux and nvidia GPU, full functionalities are not guaranteed under Windows or Macos or using a different GPU
Alternatively, if you prefer to build the container yourself, use the following command:
Note that both the above commands will use the latest production docker image in repository, to be able to build the latest local version you'll need to append the `--build` parameter, for example:
#### Using Alternative Methods (Kustomize or Helm)
See [INSTALLATION.md](/INSTALLATION.md) for information on how to install and/or join our [Ollama Web UI Discord community](https://discord.gg/5rJgQTnV4s).
## How to Install Without Docker
While we strongly recommend using our convenient Docker container installation for optimal support, we understand that some situations may require a non-Docker setup, especially for development purposes. Please note that non-Docker installations are not officially supported, and you might need to troubleshoot on your own.
