24aa696ef5
Use moon rotating through phases to indicate notes indexing in progress Resolves #129 |
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Khoj Obsidian 🦅
Natural language search for your Obsidian notes using Khoj
Table of Contents
Features
- Natural: Advanced natural language understanding using Transformer based ML Models
- Local: Your personal data stays local. All search, indexing is done on your machine*
- Incremental: Incremental search for a fast, search-as-you-type experience
Demo
https://user-images.githubusercontent.com/6413477/210486007-36ee3407-e6aa-4185-8a26-b0bfc0a4344f.mp4
Description
- Install Khoj via
pip
and start Khoj backend in non-gui mode - Install Khoj plugin via Community Plugins settings pane on Obsidian app
- Check the new Khoj plugin settings
- Wait for Khoj backend to index markdown files in the current Vault
- Open Khoj plugin on Obsidian via Search button on Left Pane
- Search "Announce plugin to folks" in the Obsidian Plugin docs
- Jump to the search result
Interface
Setup
- Make sure python and pip are installed on your machine
- Ensure you follow the ordering of the setup steps. Install the plugin after starting the khoj backend. This allows the plugin to configure the khoj backend
1. Setup Backend
Open terminal/cmd and run below command to install and start the khoj backend
pip install khoj-assistant && khoj --no-gui
2. Setup Plugin
- Open Khoj from the Community plugins tab in Obsidian settings panel
- Click Install, then Enable on the Khoj plugin page in Obsidian
See official Obsidian plugin docs for details
Use
Search
Click the Khoj search icon 🔎 on the Ribbon or run Khoj: Search from the Command Palette
Note: Ensure the khoj server is running in the background before searching. Execute khoj --no-gui
in your terminal if it is not already running
Query Filters
Use structured query syntax to filter the natural language search results
- Word Filter: Get entries that include/exclude a specified term
- Entries that contain term_to_include:
+"term_to_include"
- Entries that contain term_to_exclude:
-"term_to_exclude"
- Entries that contain term_to_include:
- Date Filter: Get entries containing dates in YYYY-MM-DD format from specified date (range)
- Entries from April 1st 1984:
dt:"1984-04-01"
- Entries after March 31st 1984:
dt>="1984-04-01"
- Entries before April 2nd 1984 :
dt<="1984-04-01"
- Entries from April 1st 1984:
- File Filter: Get entries from a specified file
- Entries from incoming.org file:
file:"incoming.org"
- Entries from incoming.org file:
- Combined Example
what is the meaning of life? file:"1984.org" dt>="1984-01-01" dt<="1985-01-01" -"big" -"brother"
- Adds all filters to the natural language query. It should return entries
- from the file 1984.org
- containing dates from the year 1984
- excluding words "big" and "brother"
- that best match the natural language query "what is the meaning of life?"
Find Similar Notes
To see other notes similar to the current one, run Khoj: Find Similar Notes from the Command Palette
Upgrade
1. Upgrade Backend
pip install --upgrade khoj-assistant
2. Upgrade Plugin
- Open Community plugins tab in Obsidian settings
- Click the Check for updates button
- Click the Update button next to Khoj, if available
Troubleshooting
- Open the Khoj plugin settings pane, to configure Khoj
- Toggle Enable/Disable Khoj, if setting changes have not applied
- Click Update button to force index to refresh, if results are failing or stale
Current Limitations
- The plugin loads the index of only one vault at a time.
So notes across multiple vaults cannot be searched at the same time
Visualize Codebase
Implementation
The plugin implements the following functionality to search your notes with Khoj:
- Open the Khoj search modal via left ribbon icon or the Khoj: Search command
- Render results as Markdown preview to improve readability
- Configure Khoj via the plugin setting tab on the settings page
- Set Obsidian Vault to Index with Khoj. Defaults to all markdown files in current Vault
- Set URL of Khoj backend
- Set Number of Search Results to show in Search Modal
- Allow reranking of result to improve search quality
- Allow Finding notes similar to current note being viewed