mirror of
https://github.com/khoj-ai/khoj.git
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25a749ca1d
- Why The khoj pypi packages should be installed in `khoj' directory. Previously it was being installed into `src' directory, which is a generic top level directory name that is discouraged from being used - Changes - move src/* to src/khoj/* - update `setup.py' to `find_packages' in `src' instead of project root - rename imports to form `from khoj.*' in complete project - update `constants.web_directory' path to use `khoj' directory - rename root logger to `khoj' in `main.py' - fix image_search tests to use the newly rename `khoj' logger - update config, docs, workflows to reference new path `src/khoj'
144 lines
4 KiB
Markdown
144 lines
4 KiB
Markdown
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# Khoj
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*Allow natural language search on user content like notes, images,
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transactions using transformer ML models*
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User can interface with Khoj via [Web](./src/khoj/interface/web/index.html),
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[Emacs](./src/khoj/interface/emacs/khoj.el) or the API. All search is done
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locally[\*](https://github.com/debanjum/khoj#miscellaneous)
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## Demo
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<https://user-images.githubusercontent.com/6413477/168417719-8a8bc4e5-8404-42b2-89a7-4493e3d2582c.mp4>
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## Setup
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### 1. Clone
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``` shell
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git clone https://github.com/debanjum/khoj && cd khoj
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```
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### 2. Configure
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- \[Required\] Update [docker-compose.yml](./docker-compose.yml) to
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mount your images, (org-mode or markdown) notes and beancount
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directories
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- \[Optional\] Edit application configuration in
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[khoj_sample.yml](./config/khoj_sample.yml)
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### 3. Run
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``` shell
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docker-compose up -d
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```
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*Note: The first run will take time. Let it run, it\'s mostly not hung,
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just generating embeddings*
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## Use
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- **Khoj via API**
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- See [Khoj API Docs](http://localhost:8000/docs)
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- [Query](http://localhost:8000/api/search?q=%22what%20is%20the%20meaning%20of%20life%22)
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- [Update Index](http://localhost:8000/api/update?t=ledger)
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- [Configure Application](https://localhost:8000/ui)
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- **Khoj via Emacs**
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- [Install](https://github.com/debanjum/khoj/tree/master/src/khoj/interface/emacs#installation)
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[khoj.el](./src/khoj/interface/emacs/khoj.el)
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- Run `M-x khoj <user-query>`
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## Run Unit tests
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``` shell
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pytest
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```
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## Upgrade
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``` shell
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docker-compose build --pull
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```
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## Troubleshooting
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- Symptom: Errors out with \"Killed\" in error message
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- Fix: Increase RAM available to Docker Containers in Docker
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Settings
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- Refer: [StackOverflow
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Solution](https://stackoverflow.com/a/50770267), [Configure
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Resources on Docker for
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Mac](https://docs.docker.com/desktop/mac/#resources)
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- Symptom: Errors out complaining about Tensors mismatch, null etc
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- Mitigation: Delete content-type \> image section from
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docker~sampleconfig~.yml
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## Miscellaneous
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- The experimental [chat](localhost:8000/chat) API endpoint uses the
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[OpenAI API](https://openai.com/api/)
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- It is disabled by default
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- To use it add your `openai-api-key` to config.yml
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## Development Setup
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### Setup on Local Machine
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1. 1\. Install Dependencies
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1. Install Python3 \[Required\]
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2. [Install
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Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html)
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\[Required\]
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2. 2\. Install Khoj
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``` 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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```
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3. 3\. Configure
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- Configure files/directories to search in `content-type` section
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of `khoj_sample.yml`
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- To run application on test data, update file paths containing
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`/data/` to `tests/data/` in `khoj_sample.yml`
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- Example replace `/data/org/*.org` with
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`tests/data/org/*.org`
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4. 4\. Run
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Load ML model, generate embeddings and expose API to query notes,
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images, transactions etc specified in config YAML
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``` shell
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python3 -m src.khoj.main -c=config/khoj_sample.yml -vv
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```
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### Upgrade On Local Machine
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``` 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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```
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## Acknowledgments
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- [Multi-QA MiniLM
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Model](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1)
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for Asymmetric Text Search. See [SBert
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Documentation](https://www.sbert.net/examples/applications/retrieve_rerank/README.html)
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- [OpenAI CLIP Model](https://github.com/openai/CLIP) for Image
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Search. See [SBert
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Documentation](https://www.sbert.net/examples/applications/image-search/README.html)
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- Charles Cave for [OrgNode
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Parser](http://members.optusnet.com.au/~charles57/GTD/orgnode.html)
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