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Self-Host

Learn about how to self-host Khoj on your own machine.

Benefits to self-hosting:

  1. Privacy: Your data will never have to leave your private network. You can even use Khoj without an internet connection if deployed on your personal computer.
  2. Customization: You can customize Khoj to your liking, from models, to host URL, to feature enablement.

Setup Khoj​

These are the general setup instructions for self-hosted Khoj. You can install the Khoj server using either Docker or Pip.

Offline Model + GPU

If you want to use the offline chat model and you have a GPU, you should use Installation Option 2 - local setup via the Python package directly. Our Docker image doesn't currently support running the offline chat model on GPU, making inference times really slow.

Prerequisites

Install Docker Desktop

Setup

  1. Download the Khoj docker-compose.yml file from Github 
    # Windows users should use their WSL2 terminal to run these commands
    mkdir ~/.khoj && cd ~/.khoj
    wget https://raw.githubusercontent.com/khoj-ai/khoj/master/docker-compose.yml
  2. Configure the environment variables in the docker-compose.yml
    • Set KHOJ_ADMIN_PASSWORD, KHOJ_DJANGO_SECRET_KEY (and optionally the KHOJ_ADMIN_EMAIL) to something secure. This allows you to customize Khoj later via the admin panel.
    • Set OPENAI_API_KEY, ANTHROPIC_API_KEY, or GEMINI_API_KEY to your API key if you want to use OpenAI, Anthropic or Gemini chat models respectively.
  3. Start Khoj by running the following command in the same directory as your docker-compose.yml file. 
    # Windows users should use their WSL2 terminal to run these commands
    cd ~/.khoj
    docker-compose up
Remote Access

By default Khoj is only accessible on the machine it is running. To access Khoj from a remote machine see Remote Access Docs.

Your setup is complete once you see 🌖 Khoj is ready to use in the server logs on your terminal.

Use Khoj​

You can now open the web app at http://localhost:42110 and start interacting!
Nothing else is necessary, but you can customize your setup further by following the steps below.

First Message to Offline Chat Model

The offline chat model gets downloaded when you first send a message to it. The download can take a few minutes! Subsequent messages should be faster.

Add Chat Models​

Login to the Khoj Admin Panel

Go to http://localhost:42110/server/admin and login with the admin credentials you setup during installation.

CSRF Error

Ensure you are using localhost, not 127.0.0.1, to access the admin panel to avoid the CSRF error.

DISALLOWED HOST or Bad Request (400) Error

You may hit this if you try access Khoj exposed on a custom domain (e.g. 192.168.12.3 or example.com) or over HTTP. Set the environment variables KHOJ_DOMAIN=your-domain and KHOJ_NO_HTTPS=True if required to avoid this error.

Note

Using Safari on Mac? You might not be able to login to the admin panel. Try using Chrome or Firefox instead.

Configure Chat Model

Setup which chat model you'd want to use. Khoj supports local and online chat models.

Ollama Integration

Using Ollama? See the Ollama Integration section for more custom setup instructions.

  1. Create a new OpenAI processor conversation config in the server admin settings. This is kind of a misnomer, we know.
    • Add your OpenAI API key
    • Give the configuration a friendly name like OpenAI
    • (Optional) Set the API base URL. It is only relevant if you're using another OpenAI-compatible proxy server like Ollama or LMStudio.
      example configuration for openai processor
  2. Create a new chat model options
    • Set the chat-model field to an OpenAI chat model. Example: gpt-4o.
    • Make sure to set the model-type field to OpenAI.
    • If your model supports vision, set the vision enabled field to true. This is currently only supported for OpenAI models with vision capabilities.
    • The tokenizer and max-prompt-size fields are optional. Set them only if you're sure of the tokenizer or token limit for the model you're using. Contact us if you're unsure what to do here.
      example configuration for chat model options
Multiple Chat Models

Set your preferred default chat model in the Default, Advanced fields of your ServerChatSettings. Khoj uses these chat model for all intermediate steps like intent detection, web search etc.

Chat Model Fields
  • The tokenizer and max-prompt-size fields are optional. Set them only if you're sure of the tokenizer or token limit for the model you're using. This improves context stuffing. Contact us if you're unsure what to do here.
  • Only tick the vision enabled field for OpenAI models with vision capabilities like gpt-4o. Vision capabilities in other chat models is not currently utilized.

Sync your Knowledge​

  • You can chat with your notes and documents using Khoj.
  • Khoj can keep your files and folders synced using the Khoj Desktop, Obsidian or Emacs clients.
  • Your Notion workspace can be directly synced from the web app.
  • You can also just drag and drop specific files you want to chat with on the Web app.

Setup Khoj Clients​

The Khoj web app is available by default to chat, search and configure Khoj.
You can also install a Khoj client to easily access it from Obsidian, Emacs, Whatsapp or your OS and keep your documents synced with Khoj.

Note

Set the host URL on your clients settings page to your Khoj server URL. By default, use http://127.0.0.1:42110 or http://localhost:42110. Note that localhost may not work in all cases.

Upgrade​

Upgrade Server​

pip install --upgrade khoj

Note: To upgrade to the latest pre-release version of the khoj server run below command

Upgrade Clients​

  • The Desktop app automatically updates to the latest released version on restart.
  • You can manually download the latest version from the Khoj Website.

Uninstall​

Uninstall Server​

# uninstall khoj server
pip uninstall khoj

# delete khoj postgres db
dropdb khoj -U postgres

Uninstall Clients​

Uninstall the Khoj Desktop client in the standard way from your OS.

Troubleshoot​

Dependency conflict when trying to install Khoj python package with pip​

  • Reason: When conflicting dependency versions are required by Khoj vs other python packages installed on your system
  • Fix: Install Khoj in a python virtual environment using venv or pipx to avoid this dependency conflicts
  • Process:
    1. Install pipx
    2. Use pipx to install Khoj to avoid dependency conflicts with other python packages. 
      pipx install khoj
    3. Now start khoj using the standard steps described earlier

Install fails while building Tokenizer dependency​

  • Details: pip install khoj fails while building the tokenizers dependency. Complains about Rust.
  • Fix: Install Rust to build the tokenizers package. For example on Mac run: 
    brew install rustup
    rustup-init
    source ~/.cargo/env
  • Refer: Issue with Fix for more details

Khoj in Docker errors out with "Killed" in error message​