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Finds the text chunks from each submission documents that are most relevant in answering each homework question.
Saves the relevant text chunks and similarity scores to CSV so we can inspect them (good for explainability).
This helps us ensure the document chunking and retrieval strategies are producing reasonable results, before feeding them to the model during RAG.