sij/khoj: Mirror of khoj from Github

sij/khoj

mirror of https://github.com/khoj-ai/khoj.git synced 2024-11-27 09:25:06 +01:00

Mirror of khoj from Github

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Debanjum Singh Solanky da33e9e743 Create test directory with model data to reuse for pytest session - Use pytest fixture with session scope - Instantiate test directory with model data to reuse for tests		2021-10-02 19:46:29 -07:00
.github/workflows	Rename workflow to build from tests	2021-09-30 04:57:32 -07:00
src	Use raw string for regex in orgnode to fix deprecation warning	2021-10-02 17:38:31 -07:00
tests	Create test directory with model data to reuse for pytest session	2021-10-02 19:46:29 -07:00
.gitignore	Update gitignore to ignore src/data and vscode directories	2021-10-02 16:30:13 -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	Fix badge in readme, post workflow rename	2021-09-30 04:58:18 -07:00
sample_config.yml	Add all configurables to sample_config. Add test music, ledger data	2021-10-02 16:11:27 -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