lipp-faq-rag

Exploring the value of developing a RAG system to support natural language querying of content in the Lippincott Library Business FAQ

Requirements

• A Hugging Face API key (free access works) stored in the project's .env file
• A set of FAQs in individual HTML files (If you download SpringShare's default, HTML-included, FAQ extract, you can use parse.py to convert the extract to HTML files.)

Instructions

1. Download the .py files from the code directory.
2. Adjust file paths and, as needed, any text/prompt/tuning details.
3. Run rag_system.py.