GitHub - seyeong-han/KnowledgeGraphRAG: memAry @ University of Texas at Austin

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Retrieval Augmented Generation with Graph Knowledge Store

Introduction

  • Used Neo4j Graph to store knowledge graph
  • Customized Memory Stream to store entities of personal knowledge

Installation

Using conda env on Notebook

conda env create -n rag python=3.11
conda activate rag
pip install -r requirements.txt
conda install ipykernel
python -m ipykernel install --user --name=rag
jupyter notebook

Run Streamlit Application

README for Streamlit

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memAry @ University of Texas at Austin

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