# Day 1 Lab: Building Graph RAG in production

> In this lab, Ashwani walks you through the process of setting up a knowledge graph using Neo4j and OpenAI. He demonstrates how to clone the repository, configure environment variables, and create a graph with entities like person, organization, and location. He also explores how to perform hybrid s…

- Web page: https://www.dataexpert.io/lesson/advanced-rag-and-agentic-ai-day1-lab-july2025-p737-l1179
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 2: Advanced RAG, Reranking & Dev Workflow
- Access: Requires enrollment in AIExpert
- Length: 55 min video
- Skills: Python, NLP, MLOps, LLMs, Data Modeling, APIs
- Academy: DataExpert.io Academy

## About this lesson

In this lab, Ashwani walks you through the process of setting up a knowledge graph using Neo4j and OpenAI. He demonstrates how to clone the repository, configure environment variables, and create a graph with entities like person, organization, and location. He also explores how to perform hybrid searches and generate responses using a language model.

## Navigation

- Previous lesson: [Day 1 Lecture: Graph RAG vs Vector RAG](https://www.dataexpert.io/lesson/advanced-rag-and-agentic-ai-day1-lecture-july2025-p737-l1178.md)
- Next lesson: [Day 2 Lecture: Types of Agents (reflection, plan-and-execute, rewoo)](https://www.dataexpert.io/lesson/advanced-rag-and-agentic-ai-day2-lecture-july2025-p737-l1181.md)