Graph Database - Online

Tune in for live coverage from the AI Engineer World's Fair GraphRAG track, hosted by Neo4j, and get a front-row seat to what’s next in GenAI architecture.
Discover how leading AI engineers are combining knowledge graphs with retrieval-augmented generation (RAG) to build scalable, accurate and explainable systems.

Highlights from the GraphRAG track:
- GraphRAG uses knowledge graphs for structured reasoning and integrates facts to reduce hallucinations
- Graph Analytics enriches data and improves retrieval/interpretation
- GraphRAG outperforms vectors for complex data and powers smarter AI agents with memory/context
- Learnings from building graphs, using embeddings and employing hybrid Graph/Vector methods for practical GraphRAG

Guest: Andreas Kollegger
AI Engineer World's Fair: https://www.ai.engineer/schedule

#neo4j #graphdatabase #genai #graphrag #knowledgegraph

Let's take a look at RushDB, a developer-focused, AI-native graph database built Neo4j. RushDB intelligently maps relationships, types and labels any input data, so you don’t have to. A heavy part of this will be demos of how it handles nested records, custom relationships, powerful search queries and adaptive UIs through its Fractal API. Whether you're building internal tools, analytics dashboards or AI-native apps, this session offers a grounded look at what RushDB brings to the graph ecosystem.

Guest: Artemiy Vereshinskiy
https://www.linkedin.com/in/onepx/

RushDB: https://rushdb.com/