NODES 2025 - Building GenAI Apps with the LangChain Neo4j Package

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

In this session, you’ll get a hands-on tour of the LangChain Neo4j package, an open-source Python library for building GenAI applications on top of Neo4j. We’ll explore how to use Neo4jGraph for streamlined Cypher querying, leverage Neo4jVector for high-performance similarity and hybrid searches, persist conversational context with Neo4jChatMessageHistory, and power natural-language Q&A with GraphCypherQAChain. Along the way, you’ll see practical code snippets showing how you can use these tools to build powerful GenAI solutions with your knowledge graph. Speaker: Alex Thomas Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph