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 Dependencies ---- - Python3 - [Miniconda](https://docs.conda.io/en/latest/miniconda.html#latest-miniconda-installer-links) Install --- ```sh git clone https://github.com/debanjum/semantic-search && cd semantic-search conda env create -f environment.yml conda activate semantic-search ``` Setup --- Generate compressed JSONL from specified org-mode files ```sh python3 processor/org-mode/org-to-jsonl.py \ --input-files ~/Notes/Schedule.org ~/Notes/Incoming.org \ --output-file .notes.jsonl.gz \ --verbose ``` Run --- Load ML model, generate embeddings and expose API interface to run user queries on above org-mode files ```sh python3 main.py \ --compressed-jsonl .notes.jsonl.gz \ --embeddings .notes_embeddings.pt \ --verbose ``` 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 ""` 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 \ --compressed-jsonl .notes.jsonl.gz \ --embeddings .notes_embeddings.pt \ --results-count 5 \ --verbose \ --interactive ``` 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) - Charles Cave for [OrgNode Parser](http://members.optusnet.com.au/~charles57/GTD/orgnode.html)