khoj/README.md

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Semantic Search
===
> Provide natural language search on user personal content like notes, images using ML models
All data is processed locally. User can interface with semantic-search app via [Emacs](./interface/emacs/semantic-search.el), API or Commandline
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Dependencies
----
- Python3
- [Miniconda](https://docs.conda.io/en/latest/miniconda.html#latest-miniconda-installer-links)
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Install
---
```sh
git clone https://github.com/debanjum/semantic-search && cd semantic-search
conda env create -f environment.yml
conda activate semantic-search
```
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Setup
---
Generate compressed JSONL from specified org-mode files
```sh
python3 processor/org-mode/org-to-jsonl.py \
--org-files "~/Notes/Schedule.org" "~/Notes/Incoming.org" \
--jsonl-file ".notes.jsonl" \
--verbose
```
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Run
---
Load ML model, generate embeddings and expose API interface to run user queries on above org-mode files
```sh
python3 main.py \
--jsonl-file .notes.jsonl.gz \
--embeddings-file .notes_embeddings.pt \
--verbose
```
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Use
---
- *Semantic Search via Emacs*
- [Install](https://github.com/debanjum/semantic-search/tree/master/interface/emacs#installation) [semantic-search.el](./interface/emacs/semantic-search.el)
- Run `M-x semantic-search "<user-query>"` or Call `C-c C-s`
- *Call Semantic Search via API*
- `GET` [http://localhost:8000/search?q="What is the meaning of life"](http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22)
- *Call Semantic Search via Python Script Directly*
```sh
python3 search_types/asymmetric.py \
--jsonl-file .notes.jsonl.gz \
--embeddings-file .notes_embeddings.pt \
--results-count 5 \
--verbose \
--interactive
```
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Acknowledgments
--
- [MiniLM Model](https://huggingface.co/sentence-transformers/msmarco-MiniLM-L-6-v3) for Asymmetric Text Search. See [SBert Documentation](https://www.sbert.net/examples/applications/retrieve_rerank/README.html)
- [OpenAI CLIP Model](https://github.com/openai/CLIP) for Image Search. See [SBert Documentation](https://www.sbert.net/examples/applications/image-search/README.html)
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- Charles Cave for [OrgNode Parser](http://members.optusnet.com.au/~charles57/GTD/orgnode.html)