sankethsj/phi3-rag-application
This project leverages the Phi3 model and ChromaDB to create a Retrieval-Augmented Generation (RAG) application.
This application helps you get answers from your PDF documents by creating a searchable knowledge base. You feed it PDF files, and it allows you to ask questions and receive contextually accurate answers drawn directly from their content. It's designed for anyone who needs to quickly extract specific information or summaries from a collection of documents without manually sifting through them.
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Use this if you frequently need to find specific information or answer questions based on the content of multiple PDF documents, such as research papers, legal contracts, or company reports.
Not ideal if you need to process document types other than PDFs, or if you require advanced natural language understanding beyond simply retrieving and summarizing existing text.
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7
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5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 27, 2025
Commits (30d)
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