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Debanjum Singh Solanky 65fea7681a Rename notes search type to org search, now that markdown notes supported
2022-07-21 22:09:44 +04:00
.github/workflows Run build on PR 2022-07-04 18:09:47 -04:00
config Create test markdown files. Use them in sample config, docker-compose 2022-07-21 22:09:44 +04:00
src Rename notes search type to org search, now that markdown notes supported 2022-07-21 22:09:44 +04:00
tests Rename notes search type to org search, now that markdown notes supported 2022-07-21 22:09:44 +04:00
views Fix input text behavior for null/empty value fields 2021-12-04 10:45:48 -05:00
.dockerignore Make Docker ignore unnecessary files 2022-06-29 22:29:34 +04:00
.gitignore Create Basic Landing Page to Query Semantic Search and Render Results 2022-07-16 03:36:19 +04:00
demo.mp4 Add demo of semantic search to repository 2022-05-14 04:29:25 -04:00
docker-compose.yml Create test markdown files. Use them in sample config, docker-compose 2022-07-21 22:09:44 +04:00
Dockerfile Give the project a short, less generic name. Rename it to Khoj 2022-07-19 18:26:16 +04:00
LICENSE Add Readme, License. Update .gitignore 2021-08-15 22:52:37 -07:00
README.org Update documentation. Simplify, reflect current capabilities 2022-07-21 22:09:44 +04:00

README.org

https://github.com/debanjum/khoj/actions/workflows/test.yml/badge.svg https://github.com/debanjum/khoj/actions/workflows/build.yml/badge.svg

Khoj

Allow natural language search on user content like notes, images, transactions using transformer ML models

User can interface with Khoj via Web, Emacs or the API. All search is done locally*

Demo

Setup

1. Clone 

  git clone https://github.com/debanjum/khoj && cd khoj

2. Configure

  • [Required] Update docker-compose.yml to mount your images, (org-mode or markdown) notes and beancount directories
  • [Optional] Edit application configuration in sample_config.yml

3. Run 

docker-compose up -d

Note: The first run will take time. Let it run, it's mostly not hung, just generating embeddings

Use

Run Unit tests 

pytest

Upgrade 

  docker-compose build --pull

Troubleshooting

  • Symptom: Errors out with "Killed" in error message

  • Symptom: Errors out complaining about Tensors mismatch, null etc

    • Mitigation: Delete content-type > image section from docker_sample_config.yml

Miscellaneous

  • The experimental chat API endpoint uses the OpenAI 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 [Required]

  3. Install Exiftool [Optional]

    sudo apt-get -y install libimage-exiftool-perl
2. Install Khoj 
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

python3 -m src.main -c=config/sample_config.yml -vv

Upgrade On Local Machine 

  cd khoj
  git pull origin master
  conda deactivate khoj
  conda env update -f config/environment.yml
  conda activate khoj

Acknowledgments