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Mar 19, 2025

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j

Andreas Kollegger argues that AI agents shouldn't be autonomous black boxes. Discover how combining GraphRAG with local LLMs turns agents into safe, composable software design patterns.

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Matching moments

1:44 min

Introduction to generative AI and knowledge graphs

Michael Hunger Michael Hunger · World Congress 2024

2:22 min

Unlocking generative AI capabilities using knowledge graphs

Zaid Zaim Zaid Zaim +1 · World Congress 2026 Europe

2:30 min

Building a scalable context graph for software agents

Michael Angelo Rivera Michael Angelo Rivera +2 · World Congress 2026 North America

4:11 min

Protecting enterprise data with local models and RAG

Ash Ryan Arnwine Ash Ryan Arnwine +3 · World Congress 2024

2:24 min

Transforming unstructured email data into customized user knowledge graphs

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Automating structural graph generation using large language models

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Upcoming sessions on this topic

Open session

Thinking in Graphs, Reasoning with Gemini!

  • Bhavesh Bhatt

    N/A

    Lead AI Engineer

Open session

From RAG to Real Impact: Building Smarter AI Assistants

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    Program Director

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Enterprise AI Memory at Scale

  • Aditya Joshi

    Walmart

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Recursive Language Models: Scaling infinitely beyond the Context Window

  • Jayita Bhattacharyya

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Open session

The Dream Team You Didn't Know You Had - Multi-Model, Multi-Agent, One Software Lifecycle

  • Aditya Dua

    GitHub

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Open session

Bypassing the GPU Tax: Smart Layer-7 Routing with Small Language Models (SLMs)

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    CrowdStrike

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