sij/khoj: Mirror of khoj from Github

sij/khoj

mirror of https://github.com/khoj-ai/khoj.git synced 2024-11-23 15:38:55 +01:00

Mirror of khoj from Github

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Debanjum Singh Solanky d2905c4be6 Move tests out to project root. Use absolute import in project tests/ directory in project root is more standard. Just had to use absolute path for internal module imports to get it to work		2021-09-30 04:12:14 -07:00
src	Move tests out to project root. Use absolute import in project	2021-09-30 04:12:14 -07:00
tests	Move tests out to project root. Use absolute import in project	2021-09-30 04:12:14 -07:00
.gitignore	Add Readme, License. Update .gitignore	2021-08-15 22:52:37 -07:00
environment.yml	Enable Semantic Search on Images	2021-08-22 21:42:37 -07:00
LICENSE	Add Readme, License. Update .gitignore	2021-08-15 22:52:37 -07:00
README.org	Update Readme. Acknowledger PyExifTool and Minor Fixes	2021-09-16 12:39:42 -07:00
sample_config.yml	Make Using XMP Metadata to Enhance Image Search Optional, Configurable	2021-09-16 12:01:05 -07:00

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

git clone https://github.com/debanjum/semantic-search && cd semantic-search
conda env create -f environment.yml
conda activate semantic-search

Load ML model, generate embeddings and expose API to query specified org-mode files

python3 src/main.py -c=sample_config.yml -vv

Semantic Search via Emacs
- Install semantic-search.el
- Run M-x semantic-search <user-query>
Semantic Search via API
- Query: GET http://localhost:8000/search?q="What is the meaning of life&t=notes"
- Regenerate Embeddings: GET http://localhost:8000/regenerate?t=image
- Semantic Search API Docs

  cd semantic-search
  git pull origin master
  conda env update -f environment.yml
  conda activate semantic-search