sij/khoj
1
0
Fork 0
mirror of https://github.com/khoj-ai/khoj.git synced 2024-11-27 17:35:07 +01:00
Code Issues Projects Releases Packages Wiki Activity Actions
Mirror of khoj from Github
317 commits 12 branches 107 tags 132 MiB
Python 50.2%
TypeScript 32.9%
HTML 7.3%
Emacs Lisp 3.4%
JavaScript 3.1%
Other 3.1%
Find a file
Debanjum Singh Solanky 5aad297286 Reuse logic to extract entries across symmetric, asymmetric search 
Now that the logic to compile entries is in the processor layer, the
extract_entries method is standard across (text) search_types

Extract the load_jsonl method as a utility helper method.
Use it in (a)symmetric search types
2022-07-21 02:53:18 +04:00
.github/workflows Run build on PR 2022-07-04 18:09:47 -04:00
config Allow indexing multiple image directories for image search 2022-07-20 02:56:01 +04:00
src Reuse logic to extract entries across symmetric, asymmetric search 2022-07-21 02:53:18 +04:00
tests Parse Logbook Entries in the OrgNode parser for Org-Mode. Update tests 2022-07-21 00:15:30 +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 Correct syntax of memory limit in docker-compose.yml 2022-07-06 20:07:11 -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 Give the project a short, less generic name. Rename it to Khoj 2022-07-19 18:26:16 +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 the API or Emacs. All search is done locally*

Demo

Setup

1. Clone 

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

2. Configure

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