Popular GitHub Repositories for Neo4j Database

基于知识图谱的电影问答系统。 This is a simple question answering and recommender system on movies (based on Knowledge Graph).

Convert english sentences to cypher

UltraRepo Graph RAG provides AI agents access to massive code, doc, and data repos via Knowledge Graphs (KG). KGs are generated in Neo4j and accessible via FastAPI and vector DBs. Provides AI agents with better accuracy, scalability, and reasoning over large repos.

Simple, High Quality, Open Source RAG solution for chatting with your documents

In order to help students and job seekers in their journey of job hunting, from our experience we got the idea to start the project after the successful result of the first prototype that we build for personal use (massive job hunting). The app extract the data of given job (link of Linkedin or any job search platform) and use it to build a short insight that focus on the important key words, required Skills, level of education and information about the company. The extracted job data and the user data (Resume, Profile) will be used as input of the processing box (the sniper agency), It has Intelligente agent that use many tools and technique to produce results for example : The NLP text generator (we call it the philosopher) that produce a perfect motivation letter based on the input and some other predefined data. the second agent "

Helping to detect fraud in Automobile Insurance Claims using Python, ML and Neo4j Graph Database.

RAG_With_Knowledge_Graph enhances customer support using Retrieval-Augmented Generation (RAG) and a knowledge graph. It leverages Neo4j for structured data, LangChain for retrieval, and Google Generative AI for intelligent responses, ensuring efficient query resolution.