Discover the power of integrating Neo4j with Generative AI models through Langchain.
Learn how to use graph databases to enhance the accuracy and reliability of Large Language Models (LLMs) by grounding them with factual information, effectively preventing misinformation or 'hallucinations.' We go hands-on using Langchain and Python to seamlessly connect an LLM with Neo4j, using Cypher and Vector Indexes for robust AI applications. Although we focus on OpenAI models, Langchain's versatility allows for exploring various LLMs.
Presenter: Martin O'Hanlon
Full Course: https://bit.ly/3zvclqo
0:00 Intro
3:40 GraphAcademy and Course Overview
5:55 Neo4j & GenAI
15:55 Avoid Hallucination
24:40 Grounding
28:30 Vectors & Semantic Search
34:35 Vector Indexes
47:38 Introductio to Langchain
54:30 Overview of Rest of Course
56:10 Q&A
58:44 Wrap-Up
#neo4j #graphdatabase #llm #langchain #genai #python #genai