khoj/environment.yml

name: semantic-search
channels:
  - conda-forge
dependencies:
  - python=3.*
  - numpy=1.21.*
  - pytorch
  - transformers
  - sentence-transformers
  - fastapi
  - uvicorn
  - pyyaml
  - pytest
  - pillow
  - torchvision
Create environment.yml to install prerequisites for app via conda 2021-08-16 02:17:37 +02:00			`name: semantic-search`
			`channels:`
			`- conda-forge`
			`dependencies:`
			`- python=3.*`
			`- numpy=1.21.*`
			`- pytorch`
			`- transformers`
			`- sentence-transformers`
Create API interface for Semantic Search Use FastAPI, Uvicorn to create app with API endpoint at /search Example Query: http://localhost:8000/?q="why sleep?"&t="notes'&n=5 2021-08-16 02:50:08 +02:00			`- fastapi`
Create a few basic tests 2021-08-17 12:27:16 +02:00			`- uvicorn`
Use YAML file to allow user to configure application. Add tests - YAML Config - Can specify all params[1] earlier being passed via cmd args in config YAML - Can now also configure sentence-transformer models to use etc for search - [1] Config params - org files - compressed entries file config path - embeddings file config path - Include sample_config.yaml - Include sample .org file from this repos readmes - CLI - Configuration Priority: Config via cmd > Config via YAML > Default Config - Test CLI, include test config.yml for the tests - Set default type to None unless set via query param to API Run notes search if search_enabled, also if type is None (default) Prepares for running queries on all search types unless type specified in API query param - Update Readme 2021-08-22 03:47:55 +02:00			`- pyyaml`
Enable Semantic Search on Images 2021-08-23 06:00:54 +02:00			`- pytest`
			`- pillow`
			`- torchvision`