This project uses Retrieval-Augmented Generation (RAG) to answer questions posed by ward and stake clerks of The Church of Jesus Christ of Latter-day Saints. The data is sourced from the General Handbook of Instructions of the Church (https://www.churchofjesuschrist.org/study/manual/general-handbook?lang=eng). The project leverages the LlamaIndex framework.

• Accurate retrieval of information from the General Handbook
• Generative responses using advanced language models
• User-friendly query interface

• Python 3.11+
• Poetry

git clone https://github.com/jud-sdev/lds-clerkbot.git
cd lds-clerkbot

poetry install

poetry shell

First, startup the backend as described in the backend README.

Second, run the development server of the frontend as described in the frontend README.

Open https://localhost:3000 with your browser to see the result.