/RAG-with-Neo4j-Graph-Database-and-Google-s-Gemma2-9B-LLM-model

This repository showcases an innovative implementation of Retrieval-Augmented Generation (RAG) using the Neo4J graph database and Google's Gemma 9B Large Language Model (LLM). This approach leverages the strengths of both technologies to generate high-quality outputs

Primary LanguageJupyter Notebook

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