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## Project Overview
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This repository contains an advanced Retrieval-Augmented Generation (RAG) system that integrates structured ontologies with language models. The system demonstrates how formal ontological knowledge representation can enhance traditional vector-based retrieval methods to provide more accurate, contextually rich, and logically consistent answers to user queries.
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title: Ontology-Enhanced RAG System
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colorFrom: indigo
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sdk: streamlit
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sdk_version: 1.44.0
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app_file: app.py
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pinned: false
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---
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# Ontology-RAG System
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## Project Overview
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This repository contains an advanced Retrieval-Augmented Generation (RAG) system that integrates structured ontologies with language models. The system demonstrates how formal ontological knowledge representation can enhance traditional vector-based retrieval methods to provide more accurate, contextually rich, and logically consistent answers to user queries.
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