The easiest way to chat with Knowledge Graph using LLMs (python tutorial)

What is knowledge graph? How to integrate it with LLMs? If you have the same question, this video is for you! I will explain start from the basic theory until how to set up Neo4J database, build a graph chain using Langchain, Python, and Gemini ( open source model) , until how to do prompting strategies to enhance our model's performance Chapter: 00:00:00 - Intro 00:00:31 - What is Knowledge Graph? 00:02:51 - Why is it important? 00:04:28 - Workflow 00:05:23 - Code 00:06:28 - Neo4J, Google Gemini, Hugging Face set up 00:07:51 - Data Overview 00:08:30 - Insert Data to Neo4J 00:10:21 - Building a Graph Chain 00:11:50 - Evaluation 1 00:14:00 - Prompting Strategies 00:16:03 - Evaluation 2 00:16:40 - Bonus ( How to Create a Dynamic Prompt? ) 00:18:07 - Outro Everything you'll need: Github repo: https://github.com/projectwilsen/Know... Gemini API: https://aistudio.google.com/app/apikey HuggingFace API: https://huggingface.co/settings/tokens Neo4J database set up: https://console.neo4j.io/ Neo4J Cypher cheat sheet: https://neo4j.com/docs/cypher-cheat-s... References: https://arxiv.org/pdf/2307.03172.pdf https://arxiv.org/pdf/2311.07509.pdf https://www.microsoft.com/en-us/resea... #llm #knowledgegraph #langchain #neo4j #python