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-# Docker Compose [Recommended]
-
-### Requirements
-
-- Docker
-- Docker Compose
-
-### 1. Create a new directory
-
-Create a new directory to host the compose file and env variables.
-
-### 2. Download the compose file
-
-Download the docker compose file provided [here](https://github.com/hoarder-app/hoarder/blob/main/docker/docker-compose.yml).
-
-```
-wget https://raw.githubusercontent.com/hoarder-app/hoarder/main/docker/docker-compose.yml
-```
-
-### 3. Populate the environment variables
-
-To configure the app, create a `.env` file in the directory and add this minimal env file:
-
-```
-HOARDER_VERSION=release
-NEXTAUTH_SECRET=super_random_string
-MEILI_MASTER_KEY=another_random_string
-NEXTAUTH_URL=http://localhost:3000
-```
-
-You **should** change the random strings. You can use `openssl rand -base64 36` to generate the random strings. You should also change the `NEXTAUTH_URL` variable to point to your server address.
-
-Using `HOARDER_VERSION=release` will pull the latest stable version. You might want to pin the version instead to control the upgrades (e.g. `HOARDER_VERSION=0.10.0`). Check the latest versions [here](https://github.com/hoarder-app/hoarder/pkgs/container/hoarder-web).
-
-Persistent storage and the wiring between the different services is already taken care of in the docker compose file.
-
-Keep in mind that every time you change the `.env` file, you'll need to re-run `docker compose up`.
-
-If you want more config params, check the config documentation [here](/configuration).
-
-### 4. Setup OpenAI
-
-To enable automatic tagging, you'll need to configure OpenAI. This is optional though but highly recommended.
-
-- Follow [OpenAI's help](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key) to get an API key.
-- Add the OpenAI API key to the env file:
-
-```
-OPENAI_API_KEY=<key>
-```
-
-Learn more about the costs of using openai [here](/openai).
-
-<details>
-    <summary>If you want to use Ollama (https://ollama.com/) instead for local inference.</summary>
-
-    **Note:** The quality of the tags you'll get will depend on the quality of the model you choose.
-
-    - Make sure ollama is running.
-    - Set the `OLLAMA_BASE_URL` env variable to the address of the ollama API.
-    - Set `INFERENCE_TEXT_MODEL` to the model you want to use for text inference in ollama (for example: `llama3.1`)
-    - Set `INFERENCE_IMAGE_MODEL` to the model you want to use for image inference in ollama (for example: `llava`)
-    - Make sure that you `ollama pull`-ed the models that you want to use.
-    - You might want to tune the `INFERENCE_CONTEXT_LENGTH` as the default is quite small. The larger the value, the better the quality of the tags, but the more expensive the inference will be.
-
-</details>
-
-### 5. Start the service
-
-Start the service by running:
-
-```
-docker compose up -d
-```
-
-Then visit `http://localhost:3000` and you should be greeted with the Sign In page.
-
-### [Optional] 6. Enable optional features
-
-Check the [configuration docs](/configuration) for extra features to enable such as full page archival, full page screenshots, inference languages, etc.
-
-### [Optional] 7. Setup quick sharing extensions
-
-Go to the [quick sharing page](/quick-sharing) to install the mobile apps and the browser extensions. Those will help you hoard things faster!
-
-## Updating
-
-Updating hoarder will depend on what you used for the `HOARDER_VERSION` env variable.
-
-- If you pinned the app to a specific version, bump the version and re-run `docker compose up -d`. This should pull the new version for you.
-- If you used `HOARDER_VERSION=release`, you'll need to force docker to pull the latest version by running `docker compose up --pull always -d`.