Wei Yang (William) Submit HW4

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This pull request contains my Week 4 homework submission for the MLE in GenAI course.

The notebook implements an end-to-end RAG (Retrieval-Augmented Generation) system:

• PDF loading and text extraction using PyMuPDF
• Chunking of extracted text into overlapping segments
• Embedding generation using SentenceTransformer
• FAISS vector index construction and saving (faiss.index, chunks.pkl, meta.pkl)
• Similarity search pipeline to retrieve relevant text chunks
• FastAPI endpoints (/search, /ask) for programmatic access

Notebook: Wei_Yang_week4_submission.ipynb
Submitted by: Wei Yang (William)