mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-27 17:35:07 +01:00
191 lines
No EOL
7.2 KiB
Markdown
191 lines
No EOL
7.2 KiB
Markdown
|
|
|
|
|
|
# Khoj
|
|
|
|
*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)
|
|
- [Troubleshooting](#Troubleshooting)
|
|
- [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)
|
|
- [Acknowledgments](#Acknowledgments)
|
|
|
|
## 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 relatively 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
|
|
|
|
<https://user-images.githubusercontent.com/6413477/181664862-31565b0a-0e64-47e1-a79a-599dfc486c74.mp4>
|
|
|
|
### 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
|
|
|
|
|
|
|
|
## 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 <http://localhost:8000/> 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 <user-query>`
|
|
- **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
|
|
```
|
|
|
|
## Troubleshooting
|
|
|
|
- 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 <https://github.com/debanjum/khoj/issues/36> 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
|
|
|
|
## Acknowledgments
|
|
|
|
- [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) |