This dataset contains a FAISS index that can be used for Retrival Augmented Generation on question and answering tasks. The index was created from embeddings obtained by using the 'BAAI/bge-base-en-v1.5'
model on TutorChat dataset and a small corpus of books cited in the Attribution section. The data is composed of
chunks of 1000 characters with 150 characters of overlap.
Example:
embeddings = HuggingFaceInstructEmbeddings(… See the full description on the dataset page:
https://huggingface.co/datasets/c-e-r-u/CS-552-NounNinjas-FAISS-RAG.
