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# Knowledge Graph Generator on Google Colab
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# Knowledge Graph Generator in Google Colab
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A comprehensive knowledge graph generator using LLM.
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A tool that extracts key entities and their relationships from text and visualizes them in an interactive knowledge graph directly in a Google Colab notebook using PyVis.
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## Table of Contents
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- [Applications](#applications)
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- [Features](#features)
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- [Setup & Usage](#setup-&-usage)
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- [Project Structure](#project-structure)
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## Applications
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1. ### Information Retrieval and Organization
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- Data Management: Organize large volumes of textual data into structured, interconnected entities. Useful for creating databases or enhancing existing ones.
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- Content Summarization: Summarize key information from long documents or articles by extracting main entities and their relationships.
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2. ### Education
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- Teaching Aid: Assist educators in creating interactive teaching materials by visually representing complex subjects and their interrelations.
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- Student Projects: Provide a tool for students to visualize and present their research or project findings.
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3. ### Knowledge Discovery
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- Research: Aid researchers in identifying relationships between different concepts, facilitating new insights and hypothesis generation.
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- Literature Reviews: Summarize findings from numerous studies by mapping out key terms and their connections.
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## Features
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1. Open ```KGG.ipynb``` file on google colab and import ```requirements.txt``` file in google colab.
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2. Run all the cells.
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- **Text Analysis**: Extracts entities and their relationships from input text.
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- **Interactive Visualization**: Generates and displays a knowledge graph using PyVis.
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- **Colab Integration**: Fully integrated into Google Colab for easy use and visualization.
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![image](https://github.com/coderuhaan2004/KnowledgeGraphGenerator/assets/135970602/e6ef33a6-1818-4c16-94a5-dbfe81a99fb6)
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## Setup & Usage
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Large Language Model used: https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca
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![image](https://github.com/coderuhaan2004/KnowledgeGraphGenerator/assets/135970602/2a996b97-098a-42c3-9cdd-9997f7a332f6)
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- Open ```KGG.ipynb``` file on google colab and import ```requirements.txt``` file in google colab.
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- Run all the cells.
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Graph visualizer used: Pyvis
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![image](https://github.com/coderuhaan2004/KnowledgeGraphGenerator/assets/135970602/f24b933d-a733-4538-b649-bf635a5cd179)
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## Project Structure
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```
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knowledge-graph-generator/
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├── README.md # This readme file
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├── knowledge_graph_generator.ipynb # Example Colab notebook
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└── requirements.txt # List of dependencies
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```
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