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[](https://github.com/khoj-ai/khoj/pkgs/container/khoj)
[](https://pypi.org/project/khoj-assistant/)
-*An AI personal assistant for your digital brain*
+> An AI personal assistant for your digital brain
-**Supported Plugins**
+Our goal with Khoj is to make something that can live on your desktop and give you a privacy-first, open-source, and extensible way to search and chat with your digital brain.
-[](https://github.com/khoj-ai/khoj/tree/master/src/interface/obsidian#readme)
-[](https://github.com/khoj-ai/khoj/tree/master/src/interface/emacs#readme)
+[YC](https://www.ycombinator.com/) S23.
-## Table of Contents
-
-- [Features](#Features)
-- [Demos](#Demos)
- - [Khoj in Obsidian](#khoj-in-obsidian)
- - [Khoj in Emacs, Browser](#khoj-in-emacs-browser)
- - [Interfaces](#Interfaces)
-- [Architecture](#Architecture)
-- [Setup](#Setup)
- - [Install](#1-Install)
- - [Run](#2-Run)
- - [Configure](#3-Configure)
- - [Install Plugins](#4-install-interface-plugins)
-- [Use](#Use)
- - [Khoj Search](#Khoj-search)
- - [Khoj Chat](#Khoj-chat)
-- [Upgrade](#Upgrade)
- - [Khoj Server](#upgrade-khoj-server)
- - [Khoj.el](#upgrade-khoj-on-emacs)
- - [Khoj Obsidian](#upgrade-khoj-on-obsidian)
-- [Uninstall](#uninstall)
-- [Troubleshoot](#Troubleshoot)
-- [Advanced Usage](#advanced-usage)
- - [Access Khoj on Mobile](#access-khoj-on-mobile)
- - [Use OpenAI Models for Search](#use-openai-models-for-search)
- - [Search across Different Languages](#search-across-different-languages)
- - [Boostrap Khoj Search for Offline Usage Later](#bootstrap-khoj-search-for-offline-usage-later)
-- [Miscellaneous](#Miscellaneous)
- - [Setup OpenAI API key in Khoj](#set-your-openai-api-key-in-khoj)
- - [GPT API](#gpt-api)
-- [Performance](#Performance)
- - [Query Performance](#Query-performance)
- - [Indexing Performance](#Indexing-performance)
- - [Miscellaneous](#Miscellaneous-1)
-- [Development](#Development)
- - [Visualize Codebase](#visualize-codebase)
- - [Create Release](#create-khoj-release)
- - [Setup](#Setup)
- - [Using Pip](#Using-Pip)
- - [Using Docker](#Using-Docker)
- - [Validate](#Validate)
-- [Credits](#Credits)
-
-## Features
-- **Search**
- - **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, smoother than search. No need to manually scan through your notes to find answers.
- - **Iterative discovery**: Iteratively explore and (re-)discover your notes
- - **Assisted creativity**: Smoothly weave across answers retrieval and content generation
-- **General**
- - **Natural**: Advanced natural language understanding using Transformer based ML Models
- - **Pluggable**: Modular architecture makes it easy to plug in new data sources, frontends and ML models
- - **Multiple Sources**: Index your Org-mode and Markdown notes, PDF files, Github repositories, and Photos
- - **Multiple Interfaces**: Interact from your [Web Browser](./src/khoj/interface/web/index.html), [Emacs](./src/interface/emacs/khoj.el) or [Obsidian](./src/interface/obsidian/)
-
-## Demos
-### Khoj in Obsidian
-https://github.com/khoj-ai/khoj/assets/6413477/3e33d8ea-25bb-46c8-a3bf-c92f78d0f56b
-
-Description
-
-1. Install Khoj via `pip` and start Khoj backend in a terminal (Run `khoj`)
- ```
- python -m pip install khoj-assistant
- khoj
- ```
-2. Install Khoj plugin via Community Plugins settings pane on Obsidian app
- - Check the new Khoj plugin settings
- - Let Khoj backend index the markdown, pdf, Github 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](https://marcus.se.net/obsidian-plugin-docs/)
- - Jump to the [search result](https://marcus.se.net/obsidian-plugin-docs/publishing/submit-your-plugin)
-Description
-
-- Install Khoj via pip
-- Start Khoj app
-- Add this readme and [khoj.el readme](https://github.com/khoj-ai/khoj/tree/master/src/interface/emacs) as org-mode for Khoj to index
-- Search \"*Setup editor*\" on the Web and Emacs. Re-rank the results for better accuracy
-- Top result is what we are looking for, the [section to Install Khoj.el on Emacs](https://github.com/khoj-ai/khoj/tree/master/src/interface/emacs#2-Install-Khojel)
-Analysis
-
-- The results do not have any words used in the query
- - *Based on the top result it seems the re-ranking model understands that Emacs is an editor?*
-- The results incrementally update as the query is entered
-- The results are re-ranked, for better accuracy, once user hits enter
-
- Its simpler as it can skip the server *install*, *run* and *configure* step below.
-- Check the [Khoj Obsidian Readme](https://github.com/khoj-ai/khoj/tree/master/src/interface/obsidian#Setup) to setup Khoj with Obsidian
- Its simpler as it can skip the *configure* step below.
-
-### 1. Install
-Run the following command in your terminal to install the Khoj backend.
-
-- On Linux/MacOS
- ```shell
- python -m pip install khoj-assistant
- ```
-
-- On Windows
- ```shell
- py -m pip install khoj-assistant
- ```
-
-### 2. Run
-
-Run the following commmand from your terminal to start the Khoj backend and open Khoj in your browser.
-
-```shell
-khoj --gui
-```
-
-Note: To start Khoj automatically in the background use [Task scheduler](https://www.windowscentral.com/how-create-automated-task-using-task-scheduler-windows-10) on Windows or [Cron](https://en.wikipedia.org/wiki/Cron) on Mac, Linux (e.g with `@reboot khoj`)
-
-### 3. Configure
-1. Set `File`, `Folder` and hit `Save` in each Plugins you want to enable for Search on the Khoj config page
-2. Add your OpenAI API key to Chat Feature settings if you want to use Chat
-3. Click `Configure` and wait. The app will download ML models and index the content for search and (optionally) chat
-
-### 4. Install Interface Plugins
-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.
-
-- **Khoj Obsidian**:
-[Install](https://github.com/khoj-ai/khoj/tree/master/src/interface/obsidian#2-Setup-Plugin) the Khoj Obsidian plugin
-
-- **Khoj Emacs**:
-[Install](https://github.com/khoj-ai/khoj/tree/master/src/interface/emacs#2-Install-Khojel) khoj.el
-
-## Use
-### Khoj Search
-- **Khoj via Obsidian**
- - Click the *Khoj search* icon 🔎 on the [Ribbon](https://help.obsidian.md/User+interface/Workspace/Ribbon) or Search for *Khoj: Search* in the [Command Palette](https://help.obsidian.md/Plugins/Command+palette)
-- **Khoj via Emacs**
- - Run `M-x khoj `
-- **Khoj via Web**
- - Open directly
-- **Khoj via API**
- - See the Khoj FastAPI [Swagger Docs](http://localhost:42110/docs), [ReDocs](http://localhost:42110/redocs)
-
-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"`
-- **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"`
-- **File Filter**: Get entries from a specified file
- - Entries from incoming.org file: `file:"incoming.org"`
-- 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?"*
-
-
It should be `http://tailscale-ip-of-server:42110` or `http://name-of-server:42110` if you've setup [MagicDNS](https://tailscale.com/kb/1081/magicdns/)
-4. Click the [Add to Homescreen](https://developer.mozilla.org/en-US/docs/Web/Progressive_web_apps/Add_to_home_screen) button
-5. Enjoy exploring your notes, documents and images from your phone!
-
-
-
-### Use OpenAI Models for Search
-#### Setup
-1. Set `encoder-type`, `encoder` and `model-directory` under `asymmetric` and/or `symmetric` `search-type` in your `khoj.yml`[^1]:
- ```diff
- asymmetric:
- - encoder: "sentence-transformers/multi-qa-MiniLM-L6-cos-v1"
- + encoder: text-embedding-ada-002
- + encoder-type: khoj.utils.models.OpenAI
- cross-encoder: "cross-encoder/ms-marco-MiniLM-L-6-v2"
- - encoder-type: sentence_transformers.SentenceTransformer
- - model_directory: "~/.khoj/search/asymmetric/"
- + model-directory: null
- ```
-2. [Setup your OpenAI API key in Khoj](#set-your-openai-api-key-in-khoj)
-3. Restart Khoj server to generate embeddings. It will take longer than with offline models.
-
-#### Warnings
- This configuration *uses an online model*
- - It will **send all notes to OpenAI** to generate embeddings
- - **All queries will be sent to OpenAI** when you search with Khoj
- - You will be **charged by OpenAI** based on the total tokens processed
- - It *requires an active internet connection* to search and index
-
-### Search across Different Languages
- To search for notes in multiple, different languages, you can use a [multi-lingual model](https://www.sbert.net/docs/pretrained_models.html#multi-lingual-models).
- For example, the [paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) supports [50+ languages](https://www.sbert.net/docs/pretrained_models.html#:~:text=we%20used%20the%20following%2050%2B%20languages), has good search quality and speed. To use it:
- 1. Manually update `search-type > asymmetric > encoder` to `paraphrase-multilingual-MiniLM-L12-v2` in your `~/.khoj/khoj.yml` file for now. See diff of `khoj.yml` below for illustration:
- ```diff
- asymmetric:
-- encoder: "sentence-transformers/multi-qa-MiniLM-L6-cos-v1"
-+ encoder: "paraphrase-multilingual-MiniLM-L12-v2"
- cross-encoder: "cross-encoder/ms-marco-MiniLM-L-6-v2"
- model_directory: "~/.khoj/search/asymmetric/"
- ```
-
- 2. Regenerate your content index. For example, by opening [\/api/update?force=true](http://localhost:42110/api/update?force=true)
-
-### Bootstrap Khoj Search for Offline Usage later
-
- You can bootstrap Khoj pre-emptively to run on machines that do not have internet access. An example use-case would be to run Khoj on an air-gapped machine.
- Note: *Only search can currently run in fully offline mode, not chat.*
-
- - With Internet
- 1. Manually download the [asymmetric text](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1), [symmetric text](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)and [image search](https://huggingface.co/sentence-transformers/clip-ViT-B-32) models from HuggingFace
- 2. Pip install khoj (and dependencies) in an associated virtualenv. E.g `python -m venv .venv && source .venv/bin/activate && pip install khoj-assistant`
- - Without Internet
- 1. Copy each of the search models into their respective folders, `asymmetric`, `symmetric` and `image` under the `~/.khoj/search/` directory on the air-gapped machine
- 2. Copy the khoj virtual environment directory onto the air-gapped machine, activate the environment and start and khoj as normal. E.g `source .venv/bin/activate && khoj`
-
-
-## Miscellaneous
-### Set your OpenAI API key in Khoj
-If you want, Khoj can be configured to use OpenAI for search and chat.
-Add your OpenAI API to Khoj by using either of the two options below:
- - Open your [Khoj settings](http://localhost:42110/config/processor/conversation), add your OpenAI API key, and click *Save*. Then go to your [Khoj settings](http://localhost:42110/config) and click `Configure`. This will refresh Khoj with your OpenAI API key.
- - Set `openai-api-key` field under `processor.conversation` section in your `khoj.yml`[^1] to your [OpenAI API key](https://beta.openai.com/account/api-keys) and restart khoj:
- ```diff
- processor:
- conversation:
- - openai-api-key: # "YOUR_OPENAI_API_KEY"
- + openai-api-key: sk-aaaaaaaaaaaaaaaaaaaaaaaahhhhhhhhhhhhhhhhhhhhhhhh
- model: "text-davinci-003"
- conversation-logfile: "~/.khoj/processor/conversation/conversation_logs.json"
- ```
-
-**Warning**: *This will enable Khoj to send your query and note(s) to OpenAI for processing*
-
-### GPT API
-- The [chat](http://localhost:42110/api/chat), [answer](http://localhost:42110/api/beta/answer) and [search](http://localhost:42110/api/beta/search) API endpoints use [OpenAI API](https://openai.com/api/)
-- They are disabled by default
-- To use them:
- 1. [Setup your OpenAI API key in Khoj](#set-your-openai-api-key-in-khoj)
- 2. Interact with them from the [Khoj Swagger docs](http://locahost:42110/docs)[^2]
-
-### Index Github Repository for Search, Chat
-The Khoj Github plugin can index issues, commit messages and markdown, org-mode and PDF files from any repositories you have access to. This allows you to chat or search with these repositories. Get answers, resolve issues or just explore a repo with the help of your AI personal assistant.
-
-See the [Khoj FAQ](https://faq.khoj.dev) for a demo of Khoj search and chat. It makes the Khoj github repo available for exploring.
-
-Note: *Khoj will ignore code files in the repository for now as the default AI model used works best with natural language text, not code.*
-
-#### Setup Khoj Github plugin
-1. Get a [pat token](https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and-data-secure/creating-a-personal-access-token) with `repo` and `read:org` scopes in the classic flow.
-2. Configure Khoj settings to include the `owner` and `repo_name`. The `owner` will be the organization name if the repo is in an organization. The `repo_name` will be the name of the repository. Optionally, you can also supply a branch name. If no branch name is supplied, the `master` branch will be used.
-
-## Performance
-
-### Query performance
-
-- Semantic search using the bi-encoder is fairly fast at \<50 ms
-- Reranking using the cross-encoder is slower at \<2s on 15 results. Tweak `top_k` to tradeoff speed for accuracy of results
-- Filters in query (e.g by file, word or date) usually add \<20ms to query latency
-
-### Indexing performance
-
-- Indexing is more strongly impacted by the size of the source data
-- Indexing 100K+ line corpus of notes takes about 10 minutes
-- Indexing 4000+ images takes about 15 minutes and more than 8Gb of RAM
-- Note: *It should only take this long on the first run* as the index is incrementally updated
-
-### Miscellaneous
-
-- Testing done on a Mac M1 and a \>100K line corpus of notes
-- Search, indexing on a GPU has not been tested yet
-
-## Development
-### Visualize Codebase
-
-*[Interactive Visualization](https://mango-dune-07a8b7110.1.azurestaticapps.net/?repo=debanjum%2Fkhoj)*
-
-
-
-### Create Khoj Release
-Follow the steps below to [release](https://github.com/debanjum/khoj/releases/) Khoj. This will create a stable release of Khoj on [Pypi](https://pypi.org/project/khoj-assistant/), [Melpa](https://stable.melpa.org/#%252Fkhoj) and [Obsidian](https://obsidian.md/plugins?id%253Dkhoj). It will also create desktop apps of Khoj and attach them to the latest release.
-
-1. Create and tag release commit by running the bump_version script. The release commit sets version number in required metadata files.
- ```shell
- ./scripts/bump_version.sh -c ""
- ```
-2. Push commit and then the tag to trigger the release workflow to create Release with auto generated release notes.
- ```shell
- git push origin master # push release commit to khoj repository
- git push origin # push release tag to khoj repository
- ```
-3. [Optional] Update the Release Notes to highlight new features, fixes and updates
-### Setup
-#### Using Pip
-##### 1. Install
-
-```shell
-# Get Khoj Code
-git clone https://github.com/khoj-ai/khoj && cd khoj
-
-# Create, Activate Virtual Environment
-python3 -m venv .venv && source .venv/bin/activate
-
-# Install Khoj for Development
-pip install -e .[dev]
-```
-
-##### 2. Run
-1. Start Khoj
- ```shell
- khoj -vv
- ```
-2. Configure Khoj
- - **Via the Settings UI**: Add files, directories to index the [Khoj settings](http://localhost:42110/config) UI once Khoj has started up. Once you've saved all your settings, click `Configure`.
- - **Manually**:
- - Copy the `config/khoj_sample.yml` to `~/.khoj/khoj.yml`
- - Set `input-files` or `input-filter` in each relevant `content-type` section of `~/.khoj/khoj.yml`
- - Set `input-directories` field in `image` `content-type` section
- - Delete `content-type` and `processor` sub-section(s) irrelevant for your use-case
- - Restart khoj
-
- Note: Wait after configuration for khoj to Load ML model, generate embeddings and expose API to query notes, images, documents etc specified in config YAML
-
-#### Using Docker
-##### 1. Clone
-
-```shell
-git clone https://github.com/khoj-ai/khoj && cd khoj
-```
-
-##### 2. Configure
-
-- **Required**: Update [docker-compose.yml](./docker-compose.yml) to mount your images, (org-mode or markdown) notes, PDFs and Github repositories
-- **Optional**: Edit application configuration in [khoj_docker.yml](./config/khoj_docker.yml)
-
-##### 3. Run
-
-```shell
-docker-compose up -d
-```
-
-*Note: The first run will take time. Let it run, it\'s mostly not hung, just generating embeddings*
-
-##### 4. Upgrade
-
-```shell
-docker-compose build --pull
-```
-
-### Validate
-#### Before Make Changes
-1. Install Git Hooks for Validation
- ```shell
- pre-commit install -t pre-push -t pre-commit
- ```
- - This ensures standard code formatting fixes and other checks run automatically on every commit and push
- - Note 1: If [pre-commit](https://pre-commit.com/#intro) didn't already get installed, [install it](https://pre-commit.com/#install) via `pip install pre-commit`
- - Note 2: To run the pre-commit changes manually, use `pre-commit run --hook-stage manual --all` before creating PR
-
-#### Before Creating PR
-
-1. Run Tests. If you get an error complaining about a missing `fast_tokenizer_file`, follow the solution [in this Github issue](https://github.com/UKPLab/sentence-transformers/issues/1659).
- ```shell
- pytest
- ```
-
-2. Run MyPy to check types
- ```shell
- mypy --config-file pyproject.toml
- ```
-
-#### After Creating PR
-- Automated [validation workflows](.github/workflows) run for every PR.
-
- Ensure any issues seen by them our fixed
-
-- Test the python packge created for a PR
- 1. Download and extract the zipped `.whl` artifact generated from the pypi workflow run for the PR.
- 2. Install (in your virtualenv) with `pip install /path/to/download*.whl>`
- 3. Start and use the application to see if it works fine
-
-
-## Credits
-
-- [Multi-QA MiniLM Model](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1), [All MiniLM Model](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) for Text Search. See [SBert Documentation](https://www.sbert.net/examples/applications/retrieve_rerank/README.html)
-- [OpenAI CLIP Model](https://github.com/openai/CLIP) for Image Search. See [SBert Documentation](https://www.sbert.net/examples/applications/image-search/README.html)
-- Charles Cave for [OrgNode Parser](http://members.optusnet.com.au/~charles57/GTD/orgnode.html)
-- [Org.js](https://mooz.github.io/org-js/) to render Org-mode results on the Web interface
-- [Markdown-it](https://github.com/markdown-it/markdown-it) to render Markdown results on the Web interface
-
-
-[^1]: Default Khoj config file @ `~/.khoj/khoj.yml`
-
-[^2]: Default Khoj url @ http://localhost:42110
+| | | |
+|:-------------------------:|:-------------------------:|:-------------------------:|
+| [See the docs](https://khoj-ai.github.io/khoj/)| [Visit the website](https://khoj.dev)| [Join the community](https://discord.gg/BDgyabRM6e)|