anything-llm/docker/HOW_TO_USE_DOCKER.md

# How to use Dockerized Anything LLM

Use the Dockerized version of AnythingLLM for a much faster and complete startup of AnythingLLM.


### Minimum Requirements
> [!TIP]
> Running AnythingLLM on AWS/GCP/Azure? 
> You should aim for at least 2GB of RAM. Disk storage is proportional to however much data
> you will be storing (documents, vectors, models, etc). Minimum 10GB recommended.

- `docker` installed on your machine
- `yarn` and `node` on your machine
- access to an LLM running locally or remotely

*AnythingLLM by default uses a built-in vector database powered by [LanceDB](https://github.com/lancedb/lancedb)

*AnythingLLM by default embeds text on instance privately [Learn More](../server/storage/models/README.md)

## Recommend way to run dockerized AnythingLLM!
> [!IMPORTANT]
> If you are running another service on localhost like Chroma, LocalAi, or LMStudio
> you will need to use http://host.docker.internal:xxxx to access the service from within
> the docker container using AnythingLLM as `localhost:xxxx` will not resolve for the host system.
> eg: Chroma host URL running on localhost:8000 on host machine needs to be http://host.docker.internal:8000
> when used in AnythingLLM.

> [!TIP]
> It is best to mount the containers storage volume to a folder on your host machine
> so that you can pull in future updates without deleting your existing data!

`docker pull mintplexlabs/anythingllm:master`

<table>
<tr>
<th>Linux/MacOs</th>
<th>Windows Powershell</th>
</tr>
<tr>
<td>

```shell
export STORAGE_LOCATION=$HOME/anythingllm && \
mkdir -p $STORAGE_LOCATION && \
touch "$STORAGE_LOCATION/.env" && \
docker run -d -p 3001:3001 \
--cap-add SYS_ADMIN \
-v ${STORAGE_LOCATION}:/app/server/storage \
-v ${STORAGE_LOCATION}/.env:/app/server/.env \
-e STORAGE_DIR="/app/server/storage" \
mintplexlabs/anythingllm:master
```

</td>
<td>

```powershell
$env:STORAGE_LOCATION="$HOME\Documents\anythingllm"; `
If(!(Test-Path $env:STORAGE_LOCATION)) {New-Item $env:STORAGE_LOCATION -ItemType Directory}; `
If(!(Test-Path "$env:STORAGE_LOCATION\.env")) {New-Item "$env:STORAGE_LOCATION\.env"}; `
docker run -d -p 3001:3001 `
--cap-add SYS_ADMIN `
-v "$env:STORAGE_LOCATION`:/app/server/storage" `
-v "$env:STORAGE_LOCATION\.env:/app/server/.env" `
-e STORAGE_DIR="/app/server/storage" `
mintplexlabs/anythingllm:master;
```

</td>
</tr>
</table>

Go to `http://localhost:3001` and you are now using AnythingLLM! All your data and progress will persist between
container rebuilds or pulls from Docker Hub.

## How to use the user interface
- To access the full application, visit `http://localhost:3001` in your browser.

## About UID and GID in the ENV
- The UID and GID are set to 1000 by default. This is the default user in the Docker container and on most host operating systems. If there is a mismatch between your host user UID and GID and what is set in the `.env` file, you may experience permission issues.

## Build locally from source _not recommended for casual use_
- `git clone` this repo and `cd anything-llm` to get to the root directory.
- `touch server/storage/anythingllm.db` to create empty SQLite DB file.
- `cd docker/`
- `cp .env.example .env` **you must do this before building**
- `docker-compose up -d --build` to build the image - this will take a few moments.

Your docker host will show the image as online once the build process is completed. This will build the app to `http://localhost:3001`.

## ⚠️ Vector DB support ⚠️
Out of the box, all vector databases are supported. Any vector databases requiring special configuration are listed below.

### Using local ChromaDB with Dockerized AnythingLLM
- Ensure in your `./docker/.env` file that you have
```
#./docker/.env
...other configs

VECTOR_DB="chroma"
CHROMA_ENDPOINT='http://host.docker.internal:8000' # Allow docker to look on host port, not container.
# CHROMA_API_HEADER="X-Api-Key" // If you have an Auth middleware on your instance.
# CHROMA_API_KEY="sk-123abc"

...other configs

```

## Common questions and fixes

### API is not working, cannot login, LLM is "offline"?
You are likely running the docker container on a remote machine like EC2 or some other instance where the reachable URL
is not `http://localhost:3001` and instead is something like `http://193.xx.xx.xx:3001` - in this case all you need to do is add the following to your `frontend/.env.production` before running `docker-compose up -d --build`
```
# frontend/.env.production
GENERATE_SOURCEMAP=false
VITE_API_BASE="http://<YOUR_REACHABLE_IP_ADDRESS>:3001/api"
```
For example, if the docker instance is available on `192.186.1.222` your `VITE_API_BASE` would look like `VITE_API_BASE="http://192.186.1.222:3001/api"` in `frontend/.env.production`.

### Still not working?
[Ask for help on Discord](https://discord.gg/6UyHPeGZAC)