AskAlex is a minimal Python Shiny app that integrates OpenAI and OpenAlex knowledge graph to optimize literature aggregation.
Given a scientific question from the user, AskAlex searches the OpenAlex database for 100 most relevant articles, uses semantic search to find the best 10 abstracts, and includes them in the prompt sent to OpenAI along with your original question. Output is the OpenAI response and relevant articles.
Currently, the app works with Azure OpenAI endpoints.
Assuming you have conda installed, you first want to create a new conda environment named askalex and install the necessary dependencies:
conda create --name askalex
conda activate askalex
conda install pip
pip install -r requirements.txtYou will also need the following environment variables in your .env file:
OPENAI_API_TYPE = azure
OPENAI_API_KEY
OPENAI_API_BASE
OPENAI_API_VERSION = 2023-05-15
APP_RUN = local # or connect_server
and optionally:
OPENAI_PROXY
OPENALEX_API_KEY
COMPANY_PROXY
COMPANY_NO_PROXY
Finally, you may need to modify the model_engine_dict variable in app.py to match the your company's available models on Azure.
# conda activate askalex
shiny run --port 56486 --reload app.py- fix token issue for text-davinci-003
- use openai endpoint
- add community key for public use
- incorporate full text?
- improve OpenAlex search (currently performing abstract search)
Thank you for considering contributing! Please open an issue to discuss a contribution you'd like to implement to make this app better.