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Semantic Search
===
> Provide natural language search on user personal content like notes, images using ML models
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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
----
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- Python3
- [Miniconda ](https://docs.conda.io/en/latest/miniconda.html#latest-miniconda-installer-links )
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Install
---
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```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
---
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Generate compressed JSONL from specified org-mode files
```sh
python3 processor/org-mode/org-to-jsonl.py \
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--input-files ~/Notes/Schedule.org ~/Notes/Incoming.org \
--output-file .notes.jsonl.gz \
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--verbose
```
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Run
---
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Load ML model, generate embeddings and expose API interface to run user queries on above org-mode files
```sh
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python3 main.py \
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--compressed-jsonl .notes.jsonl.gz \
--embeddings .notes_embeddings.pt \
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--verbose
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```
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Use
---
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- *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`
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- *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 \
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--compressed-jsonl .notes.jsonl.gz \
--embeddings .notes_embeddings.pt \
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--results-count 5 \
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--verbose \
--interactive
```
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Acknowledgments
--
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- [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 )