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e22e0b41e3
- Wrap asymmetric search model parameters into AsymmetricSearchModel class - Create wrapper for all search type models. Put notes search model into it - Test notes search end-to-end from client API layer to results. Use model build on test data
Semantic Search
Allow natural language search on user content like notes, images, transactions using transformer based models
All data is processed locally. User can interface with semantic-search app via Emacs, API or Commandline
Dependencies
- Python3
- Miniconda
Install
git clone https://github.com/debanjum/semantic-search && cd semantic-search
conda env create -f environment.yml
conda activate semantic-searchRun
Load ML model, generate embeddings and expose API to query specified org-mode files
python3 src/main.py -c=sample_config.yml -vvUse
-
Semantic Search via Emacs
- Install semantic-search.el
- Run
M-x semantic-search <user-query>
-
Semantic Search via API
- Query:
GEThttp://localhost:8000/search?q="What is the meaning of life&t=notes" - Regenerate Embeddings:
GEThttp://localhost:8000/regenerate?t=image - Semantic Search API Docs
- Query:
Upgrade
cd semantic-search
git pull origin master
conda env update -f environment.yml
conda activate semantic-searchAcknowledgments
- MiniLM Model for Asymmetric Text Search. See SBert Documentation
- OpenAI CLIP Model for Image Search. See SBert Documentation
- Charles Cave for OrgNode Parser
- Sven Marnach for PyExifTool