/FAA-LOI-using-RAG

LLM implementation using FAISS to store and retrieve pertinent information from FAA Letters of Interpretation legal letters

Primary LanguageJupyter Notebook

FAA-LOI-using-RAG

Using LLMs with Retrieval Augmented Generation (RAG) to answer questions relating to FAA Letters of Interpretation (LOI)

get_loi.py will retrieve LOI information from the FAA website

rag-faa-loi-faiss.ipynb is the jupyter notebook to demonstrate the functionality. Some LOI files are located in the loi folder already to answer the sample questions in the notebook.