Learn about graphs and GenAI #shorts #neo4j #graphdatabase #genai
summary
Hands-on coverage of grounding LLMs on Neo4j knowledge graphs to reduce hallucinations with a concrete prototype that wires an LLM to graph queries and visualization, plus practical demos of fraud detection and supply-chain lineage using standard graph algorithms to surface communities and shortest paths. Describes toolchain around LLMs/OpenAI and Neo4j, shows a working app and visual outputs, and notes NODES 2024 runs as a free 24-hour online event on November 7.
AI-written summary · about
related talks
51mMemory Masterclass: Make Your AI Agents Remember What They Do!
29mTransparent Multi-Agent AI
27mGraphReader Agentic RAG: Rethinking Long-Context Retrieval Systems
56mConnecting the Dots with Context Graphs
29mBuilding Modular AI Agents with LangGraph, MCP, and
39mEnhancing RAG with Neo4j Knowledge Graph
30mBuilding GenAI Apps with the LangChain Neo4j Package
34mEverything is a graph, including LLM Applications (and that’s handy)
