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README.md
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This project implements a RAG system that answers questions about custom documents using natural language. It retrieves relevant context from your documents before generating answers, ensuring responses are accurate and grounded in your data.
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**Built for the WebMob Technologies AI/ML Developer Trainee position**
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### What is RAG?
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RAG (Retrieval-Augmented Generation) combines:
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This project implements a RAG system that answers questions about custom documents using natural language. It retrieves relevant context from your documents before generating answers, ensuring responses are accurate and grounded in your data.
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### What is RAG?
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RAG (Retrieval-Augmented Generation) combines:
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