khoj/tests/data/markdown/main_readme.md

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# Khoj
*Allow natural language search on user content like notes, images,
transactions using transformer ML models*
User can interface with Khoj via [Web](./src/interface/web/index.html),
[Emacs](./src/interface/emacs/khoj.el) or the API. All search is done
locally[\*](https://github.com/debanjum/khoj#miscellaneous)
## Demo
<https://user-images.githubusercontent.com/6413477/168417719-8a8bc4e5-8404-42b2-89a7-4493e3d2582c.mp4>
## 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
[khoj_sample.yml](./config/khoj_sample.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 API**
- See [Khoj API 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)
- **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>`
## Run Unit tests
``` shell
pytest
```
## 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~sampleconfig~.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. 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. 2\. Install Khoj
``` shell
git clone https://github.com/debanjum/khoj && cd khoj
conda env create -f config/environment.yml
conda activate khoj
```
3. 3\. Configure
- Configure files/directories to search in `content-type` section
of `khoj_sample.yml`
- To run application on test data, update file paths containing
`/data/` to `tests/data/` in `khoj_sample.yml`
- Example replace `/data/org/*.org` with
`tests/data/org/*.org`
4. 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/khoj_sample.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
```
## Acknowledgments
- [Multi-QA MiniLM
Model](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1)
for Asymmetric 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)
- Sven Marnach for
[PyExifTool](https://github.com/smarnach/pyexiftool/blob/master/exiftool.py)