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This project implements a **Retrieval-Augmented Generation (RAG) system** for querying PDF documents. It indexes PDFs into a Pinecone vector database and uses a local Llama 2 model to answer questions based on retrieved text chunks. The tool is designed for **
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SilverKim
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