5.5 KiB
Obsidian
An AI personal assistant for your Digital Brain in Obsidian
Features
- Search
- Natural: Advanced natural language understanding using Transformer based ML Models
- Local: Your personal data stays local. All search and indexing is done on your machine. Unlike chat which requires access to GPT.
- Incremental: Incremental search for a fast, search-as-you-type experience
- Chat
- Faster answers: Find answers faster and with less effort than search
- Iterative discovery: Iteratively explore and (re-)discover your notes
- Assisted creativity: Smoothly weave across answers retrieval and content generation
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
-
On Linux/MacOS
python -m pip install khoj-assistant && khoj
-
On Windows
py -m pip install khoj-assistant && khoj
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
- [Optional] To enable Khoj Chat, set your OpenAI API key in the Khoj plugin settings
See official Obsidian plugin docs for details
Use
Chat
Run Khoj: Chat from the Command Palette and ask questions in a natural, conversational style.
E.g "When did I file my taxes last year?"
Notes:
- Using Khoj Chat will result in query relevant notes being shared with OpenAI for ChatGPT to respond.
- To use Khoj Chat, ensure you've set your OpenAI API key in the Khoj plugin settings.
See Khoj Chat for more details
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
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
Demo
Search Demo
Description
- Install Khoj via
pip
and start Khoj backendpython -m pip install khoj-assistant && khoj
- Install Khoj plugin via Community Plugins settings pane on Obsidian app
- Check the new Khoj plugin settings
- Wait for Khoj backend to index markdown, PDF 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
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