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[[https://github.com/debanjum/khoj/actions/workflows/test.yml/badge.svg ]] [[https://github.com/debanjum/khoj/actions/workflows/build.yml/badge.svg ]]
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* Khoj
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/Allow natural language search on user content like notes, images, transactions using transformer ML models/
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User can interface with Khoj via the API or [[./src/interface/emacs/khoj.el ][Emacs ]]. All search is done locally[[https://github.com/debanjum/khoj#miscellaneous ][* ]]
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** Demo
https://user-images.githubusercontent.com/6413477/168417719-8a8bc4e5-8404-42b2-89a7-4493e3d2582c.mp4
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** Setup
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*** 1. Clone
#+begin_src shell
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git clone https://github.com/debanjum/khoj && cd khoj
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#+end_src
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*** 2. Configure
- [Required] Update [[./docker-compose.yml ][docker-compose.yml ]] to mount your images, org-mode notes and beancount directories
- [Optional] Edit application configuration in [[./config/sample_config.yml ][sample_config.yml ]]
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*** 3. Run
#+begin_src shell
docker-compose up -d
#+end_src
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/Note: The first run will take time. Let it run, it's mostly not hung, just generating embeddings/
** Use
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- *Khoj via API*
- See [[http://localhost:8000/docs ][Khoj API Docs ]]
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- [[http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22 ][Query ]]
- [[http://localhost:8000/regenerate?t=ledger ][Regenerate Embeddings ]]
- [[https://localhost:8000/ui ][Configure Application ]]
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- *Khoj via Emacs*
- [[https://github.com/debanjum/khoj/tree/master/src/interface/emacs#installation ][Install ]] [[./src/interface/emacs/khoj.el ][khoj.el ]]
- Run ~M-x khoj <user-query>~
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** Run Unit tests
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#+begin_src shell
pytest
#+end_src
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** Upgrade
#+begin_src shell
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docker-compose build --pull
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#+end_src
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** Troubleshooting
- Symptom: Errors out with "Killed" in error message
- Fix: Increase RAM available to Docker Containers in Docker Settings
- Refer: [[https://stackoverflow.com/a/50770267 ][StackOverflow Solution ]], [[https://docs.docker.com/desktop/mac/#resources ][Configure Resources on Docker for Mac ]]
- Symptom: Errors out complaining about Tensors mismatch, null etc
- Mitigation: Delete content-type > image section from docker_sample_config.yml
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** Miscellaneous
- The experimental [[localhost:8000/chat ][chat ]] API endpoint uses the [[https://openai.com/api/ ][OpenAI API ]]
- It is disabled by default
- To use it add your ~openai-api-key~ to config.yml
** Development Setup
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*** Setup on Local Machine
**** 1. Install Dependencies
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1. Install Python3 [Required]
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2. [[https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html ][Install Conda ]] [Required]
3. Install Exiftool [Optional]
#+begin_src shell
sudo apt-get -y install libimage-exiftool-perl
#+end_src
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**** 2. Install Khoj
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#+begin_src shell
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git clone https://github.com/debanjum/khoj && cd khoj
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conda env create -f config/environment.yml
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conda activate khoj
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#+end_src
**** 3. Configure
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- 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~
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**** 4. Run
Load ML model, generate embeddings and expose API to query notes, images, transactions etc specified in config YAML
#+begin_src shell
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python3 -m src.main -c=config/sample_config.yml -vv
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#+end_src
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*** Upgrade On Local Machine
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#+begin_src shell
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cd khoj
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git pull origin master
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conda deactivate khoj
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conda env update -f config/environment.yml
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conda activate khoj
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#+end_src
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** Acknowledgments
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- [[https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1 ][Multi-QA MiniLM Model ]] for Asymmetric Text Search. See [[https://www.sbert.net/examples/applications/retrieve_rerank/README.html ][SBert Documentation ]]
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- [[https://github.com/openai/CLIP ][OpenAI CLIP Model ]] for Image Search. See [[https://www.sbert.net/examples/applications/image-search/README.html ][SBert Documentation ]]
- Charles Cave for [[http://members.optusnet.com.au/~charles57/GTD/orgnode.html ][OrgNode Parser ]]
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- Sven Marnach for [[https://github.com/smarnach/pyexiftool/blob/master/exiftool.py ][PyExifTool ]]