# Khoj 🦅 ![](https://github.com/debanjum/khoj/actions/workflows/test.yml/badge.svg) ![](https://github.com/debanjum/khoj/actions/workflows/build.yml/badge.svg) *A natural language search engine for your personal notes, transactions and images* ## Table of Contents - [Features](#Features) - [Demo](#Demo) - [Description](#Description) - [Analysis](#Analysis) - [Architecture](#Architecture) - [Setup](#Setup) - [Clone](#Clone) - [Configure](#Configure) - [Run](#Run) - [Use](#Use) - [Upgrade](#Upgrade) - [Troubleshoot](#Troubleshoot) - [Miscellaneous](#Miscellaneous) - [Development Setup](#Development-setup) - [Setup on Local Machine](#Setup-on-local-machine) - [Upgrade on Local Machine](#Upgrade-on-local-machine) - [Run Unit Tests](#Run-unit-tests) - [Performance](#Performance) - [Query Performance](#Query-performance) - [Indexing Performance](#Indexing-performance) - [Miscellaneous](#Miscellaneous-1) - [Credits](#Credits) ## 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[\*](https://github.com/debanjum/khoj#miscellaneous) - **Incremental**: Incremental search for a fast, search-as-you-type experience - **Pluggable**: Modular architecture makes it easy to plug in new data sources, frontends and ML models - **Multiple Sources**: Search your Org-mode and Markdown notes, Beancount transactions and Photos - **Multiple Interfaces**: Search using a [Web Browser](./src/interface/web/index.html), [Emacs](./src/interface/emacs/khoj.el) or the [API](http://localhost:8000/docs) ## Demo ### Description - User searches for \"*Setup editor*\" - The demo looks for the most relevant section in this readme and the [khoj.el readme](https://github.com/debanjum/khoj/tree/master/src/interface/emacs) - Top result is what we are looking for, the [section to Install Khoj.el on Emacs](https://github.com/debanjum/khoj/tree/master/src/interface/emacs#installation) ### 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 is idle ## Architecture ![](https://github.com/debanjum/khoj/blob/master/docs/khoj_architecture.png) ## Setup ### 1. Clone ``` shell git clone https://github.com/debanjum/khoj && cd khoj ``` ### 2. Configure - **Required**: Update [docker-compose.yml](./docker-compose.yml) to mount your images, (org-mode or markdown) notes and beancount directories - **Optional**: Edit application configuration in [sample_config.yml](./config/sample_config.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* ## Use - **Khoj via Web** - Go to or open [index.html](./src/interface/web/index.html) in your browser - **Khoj via Emacs** - [Install](https://github.com/debanjum/khoj/tree/master/src/interface/emacs#installation) [khoj.el](./src/interface/emacs/khoj.el) - Run `M-x khoj ` - **Khoj via API** - See [Khoj FastAPI Docs](http://localhost:8000/docs) - [Query](http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22) - [Regenerate Embeddings](http://localhost:8000/regenerate?t=ledger) - [Configure Application](https://localhost:8000/ui) ## Upgrade ``` shell docker-compose build --pull ``` ## Troubleshoot - Symptom: Errors out with \"Killed\" in error message - Fix: Increase RAM available to Docker Containers in Docker Settings - Refer: [StackOverflow Solution](https://stackoverflow.com/a/50770267), [Configure Resources on Docker for Mac](https://docs.docker.com/desktop/mac/#resources) - Symptom: Errors out complaining about Tensors mismatch, null etc - Mitigation: Delete content-type > image section from `docker_sample_config.yml` ## Miscellaneous - The experimental [chat](localhost:8000/chat) API endpoint uses the [OpenAI API](https://openai.com/api/) - It is disabled by default - To use it add your `openai-api-key` to config.yml ## Development Setup ### Setup on Local Machine 1. Install Dependencies 1. Install Python3 \[Required\] 2. [Install Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html) \[Required\] 3. Install Exiftool \[Optional\] ``` shell sudo apt-get -y install libimage-exiftool-perl ``` 2. Install Khoj ``` shell git clone https://github.com/debanjum/khoj && cd khoj conda env create -f config/environment.yml conda activate khoj ``` 3. Configure - Configure files/directories to search in `content-type` section of `sample_config.yml` - To run application on test data, update file paths containing `/data/` to `tests/data/` in `sample_config.yml` - Example replace `/data/notes/*.org` with `tests/data/notes/*.org` 4. Run Load ML model, generate embeddings and expose API to query notes, images, transactions etc specified in config YAML ``` shell python3 -m src.main -c=config/sample_config.yml -vv ``` ### Upgrade On Local Machine ``` shell cd khoj git pull origin master conda deactivate khoj conda env update -f config/environment.yml conda activate khoj ``` ### Run Unit Tests ``` shell pytest ``` ## Performance ### Query performance - Semantic search using the bi-encoder is fairly fast at \<5 ms - Reranking using the cross-encoder is slower at \<2s on 15 results. Tweak `top_k` to tradeoff speed for accuracy of results - Applying explicit filters is very slow currently at \~6s. This is because the filters are rudimentary. Considerable speed-ups can be achieved using indexes etc ### Indexing performance - Indexing is more strongly impacted by the size of the source data - Indexing 100K+ line corpus of notes takes 6 minutes - Indexing 4000+ images takes about 15 minutes and more than 8Gb of RAM - Once is implemented, it should only take this long on first run ### Miscellaneous - Testing done on a Mac M1 and a \>100K line corpus of notes - Search, indexing on a GPU has not been tested yet ## 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 - Sven Marnach for [PyExifTool](https://github.com/smarnach/pyexiftool/blob/master/exiftool.py)