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- Reason - All clients that currently consume the API are part of Khoj - Any breaking API changes will be fixed in clients immediately - So decoupling client from API is not required - This removes the burden of maintaining muliple versions of the API
2 KiB
2 KiB
Khoj
Allow natural language search on user content like notes, images using transformer based models
All data is processed locally. User can interface with khoj app via Emacs, API or Commandline
Dependencies
- Python3
- Miniconda
Install
git clone https://github.com/debanjum/khoj && cd khoj
conda env create -f environment.yml
conda activate khoj
Run
Load ML model, generate embeddings and expose API to query specified org-mode files
python3 main.py --input-files ~/Notes/Schedule.org ~/Notes/Incoming.org --verbose
Use
-
Khoj via Emacs
-
Khoj via API
- Query:
GET
http://localhost:8000/api/search?q="What is the meaning of life" - Update Index:
GET
http://localhost:8000/api/update - Khoj API Docs
- Query:
-
Call Khoj via Python Script Directly
python3 search_types/asymmetric.py \ --compressed-jsonl .notes.jsonl.gz \ --embeddings .notes_embeddings.pt \ --results-count 5 \ --verbose \ --interactive
Acknowledgments
- MiniLM Model for Asymmetric Text Search. See SBert Documentation
- OpenAI CLIP Model for Image Search. See SBert Documentation
- Charles Cave for OrgNode Parser