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Create test markdown files. Use them in sample config, docker-compose
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4 changed files with 229 additions and 0 deletions
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@ -8,6 +8,12 @@ content-type:
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compressed-jsonl: "/data/embeddings/notes.jsonl.gz"
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embeddings-file: "/data/embeddings/note_embeddings.pt"
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markdown:
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input-files: null
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input-filter: "/data/markdown/*.md"
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compressed-jsonl: "/data/embeddings/markdown.jsonl.gz"
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embeddings-file: "/data/embeddings/markdown_embeddings.pt"
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ledger:
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input-files: null
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input-filter: /data/ledger/*.beancount
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@ -24,6 +24,7 @@ services:
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- ./tests/data/images/:/data/images/
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- ./tests/data/ledger/:/data/ledger/
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- ./tests/data/music/:/data/music/
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- ./tests/data/markdown/:/data/markdown/
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# Embeddings and models are populated after the first run
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# You can set these volumes to point to empty directories on host
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- ./tests/data/embeddings/:/data/embeddings/
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69
tests/data/markdown/interface_emacs_readme.md
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69
tests/data/markdown/interface_emacs_readme.md
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# Emacs Khoj
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*An Emacs interface for [Khoj](https://github.com/debanjum/khoj)*
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## Requirements
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- Install and Run [Khoj](https://github.com/debanjum/khoj)
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## Installation
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- Direct Install
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- Put `khoj.el` in your Emacs load path. For e.g \~/.emacs.d/lisp
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- Load via `use-package` in your \~/.emacs.d/init.el or .emacs
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file by adding below snippet
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``` elisp
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;; Khoj Package
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(use-package khoj
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:load-path "~/.emacs.d/lisp/khoj.el"
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:bind ("C-c s" . 'khoj))
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```
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- With [straight.el](https://github.com/raxod502/straight.el)
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- Add below snippet to your \~/.emacs.d/init.el or .emacs config
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file and execute it.
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``` elisp
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;; Khoj Package for Semantic Search
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(use-package khoj
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:after org
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:straight (khoj :type git :host github :repo "debanjum/khoj" :files (:defaults "src/interface/emacs/khoj.el"))
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:bind ("C-c s" . 'khoj))
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```
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- With [Quelpa](https://github.com/quelpa/quelpa#installation)
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- Ensure [Quelpa](https://github.com/quelpa/quelpa#installation),
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[quelpa-use-package](https://github.com/quelpa/quelpa-use-package#installation)
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are installed
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- Add below snippet to your \~/.emacs.d/init.el or .emacs config
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file and execute it.
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``` elisp
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;; Khoj Package
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(use-package khoj
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:after org
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:quelpa (khoj :fetcher url :url "https://raw.githubusercontent.com/debanjum/khoj/master/interface/emacs/khoj.el")
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:bind ("C-c s" . 'khoj))
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```
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## Usage
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1. Open Query Interface on Client
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- In Emacs: Call `khoj` using keybinding `C-c s` or `M-x khoj`
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- On Web: Open <http://localhost:8000/>
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2. Query in Natural Language
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e.g \"What is the meaning of life?\" \"What are my life goals?\"
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**Note: It takes about 4s on a Mac M1 and a \>100K line corpus of
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notes**
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3. (Optional) Narrow down results further
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Include/Exclude specific words or date range from results by
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updating query with below query format
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e.g \`What is the meaning of life? -god +none dt:\"last week\"\`
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153
tests/data/markdown/main_readme.md
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153
tests/data/markdown/main_readme.md
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@ -0,0 +1,153 @@
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![](https://github.com/debanjum/khoj/actions/workflows/test.yml/badge.svg)
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![](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,
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transactions using transformer ML models*
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User can interface with Khoj via [Web](./src/interface/web/index.html),
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[Emacs](./src/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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[sample~config~.yml](./config/sample_config.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/search?q=%22what%20is%20the%20meaning%20of%20life%22)
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- [Regenerate
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Embeddings](http://localhost:8000/regenerate?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/interface/emacs#installation)
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[khoj.el](./src/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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3. Install Exiftool \[Optional\]
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``` shell
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sudo apt-get -y install libimage-exiftool-perl
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```
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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 `sample_config.yml`
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- To run application on test data, update file paths containing
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`/data/` to `tests/data/` in `sample_config.yml`
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- Example replace `/data/notes/*.org` with
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`tests/data/notes/*.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.main -c=config/sample_config.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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- Sven Marnach for
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[PyExifTool](https://github.com/smarnach/pyexiftool/blob/master/exiftool.py)
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