* Remove GPT4All dependency in pyproject.toml and use multiplatform builds in the dockerization setup in GH actions * Move configure_search method into indexer * Add conditional installation for gpt4all * Add hint to go to localhost:42110 in the docs. Addresses #477
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Setup
These are the general setup instructions for Khoj.
- Make sure python and pip are installed on your machine
- Check the Khoj Emacs docs to setup Khoj with Emacs
Its simpler as it can skip the server install, run and configure step below. - Check the Khoj Obsidian docs to setup Khoj with Obsidian
Its simpler as it can skip the configure step below.
1. Install
1.1 Local Setup
Run the following command in your terminal to install the Khoj backend.
-
On Linux/MacOS
python -m pip install khoj-assistant
-
On Windows
py -m pip install khoj-assistant
For more detailed Windows installation and troubleshooting, see Windows Install.
1.1.1 Start
Run the following command from your terminal to start the Khoj backend and open Khoj in your browser.
khoj
Khoj should now be running at http://localhost:42110. You can see the web UI in your browser.
Note: To start Khoj automatically in the background use Task scheduler on Windows or Cron on Mac, Linux (e.g with @reboot khoj
)
1.2 Docker Setup
Use the sample docker-compose in Github to run Khoj in Docker. To start the container, run the following command in the same directory as the docker-compose.yml file. You'll have to configure the mounted directories to match your local knowledge base.
docker-compose up
Khoj should now be running at http://localhost:42110. You can see the web UI in your browser.
2. Configure
- Set
File
,Folder
and hitSave
in each Plugins you want to enable for Search on the Khoj config page - Add your OpenAI API key to Chat Feature settings if you want to use Chat
- Click
Configure
and wait. The app will download ML models and index the content for search and (optionally) chat
3. Install Interface Plugins (Optional)
Khoj exposes a web interface to search, chat and configure by default.
The optional steps below allow using Khoj from within an existing application like Obsidian or Emacs.
Upgrade
Upgrade Khoj Server
pip install --upgrade khoj-assistant
Note: To upgrade to the latest pre-release version of the khoj server run below command
# Maps to the latest commit on the master branch
pip install --upgrade --pre khoj-assistant
Upgrade Khoj on Emacs
- Use your Emacs Package Manager to Upgrade
- See khoj.el package setup for details
Upgrade Khoj on Obsidian
- Upgrade via the Community plugins tab on the settings pane in the Obsidian app
- See the khoj plugin setup for details
Uninstall
- (Optional) Hit
Ctrl-C
in the terminal running the khoj server to stop it - Delete the khoj directory in your home folder (i.e
~/.khoj
on Linux, Mac orC:\Users\<your-username>\.khoj
on Windows) - You might want to
rm -rf
the following directories:
~/.khoj
~/.cache/gpt4all
- Uninstall the khoj server with
pip uninstall khoj-assistant
- (Optional) Uninstall khoj.el or the khoj obsidian plugin in the standard way on Emacs, Obsidian
Troubleshoot
Install fails while building Tokenizer dependency
- Details:
pip install khoj-assistant
fails while building thetokenizers
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
Search starts giving wonky results
- Fix: Open /api/update?force=true in browser to regenerate index from scratch
- Note: This is a fix for when you perceive the search results have degraded. Not if you think they've always given wonky results
Khoj in Docker errors out with "Killed" in error message
- Fix: Increase RAM available to Docker Containers in Docker Settings
- Refer: StackOverflow Solution, Configure Resources on Docker for Mac
Khoj errors out complaining about Tensors mismatch or null
- Mitigation: Disable
image
search using the desktop GUI