WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2024 • Aug 22, 2024 • Session details

Large Language Models ❤️ Knowledge Graphs

Michael Hunger

Fine-tuning LLMs is an expensive trap. Graph RAG is the solution. Learn to build explainable AI agents by grounding models in verifiable, highly connected knowledge graphs.

Starting at 1:47 · Watch from the beginning

Large Language Models ❤️ Knowledge Graphs thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

2:22 min

Unlocking generative AI capabilities using knowledge graphs

Zaid Zaim Zaid Zaim +1 · World Congress 2026 Europe

2:26 min

Enhancing language models with graph retrieval augmented generation

2:05 min

Enhancing language models with retrieval-augmented generation

Mary Grygleski Mary Grygleski · LIVE

4:31 min

Combining knowledge graphs with LLMs for reliability

Stephen Chin Stephen Chin · World Congress 2024

1:53 min

Overcoming language model challenges using retrieval-augmented generation

Ashish Sharma · LIVE

3:29 min

Mitigating artificial intelligence hallucinations with constraints and context

Jemiah Sius Jemiah Sius · World Congress 2024

More from World Congress 2024

Beyond the Hype: Real-World AI Strategies Panel thumbnail
24:07

Beyond the Hype: Real-World AI Strategies Panel

Mike Butcher +3

Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation thumbnail
21:17

Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation

Carl Lapierre · Osedea

Coding an Immersive Copilot using Unity / .NET and Azure OpenAI! thumbnail
31:50

Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!

Zaid Zaim · Neo4j

Building a diverse tech company: The power of Diversity, Equity, Inclusion, and Belonging thumbnail
29:43

Building a diverse tech company: The power of Diversity, Equity, Inclusion, and Belonging

Sue Quackenbush · Dynatrace

Livecoding with AI thumbnail
31:39

Livecoding with AI

Rainer Stropek · software architects

Dapr in Practice thumbnail
24:08

Dapr in Practice

marcklefter · AxonIQ

Upcoming sessions on this topic

Open session

Thinking in Graphs, Reasoning with Gemini!

  • Bhavesh Bhatt

    N/A

    Lead AI Engineer

Open session

Recursive Language Models: Scaling infinitely beyond the Context Window

  • Jayita Bhattacharyya

    Domyn

    Member of Technical Staff

Open session

Enterprise AI Memory at Scale

  • Aditya Joshi

    Walmart

    Senior Software Engineer

Open session

Architecting Trusted AI: Coupling Multi-Agent Systems with dbt Semantic Store for Zero-Hallucination

  • Pushkar Mishra

    J.P. Morgan

    Senior Vice President

Open session

From RAG to Real Impact: Building Smarter AI Assistants

  • Poornima Nayak

    IBM

    Program Director

Open session

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

  • Sagar Utekar

    CrowdStrike

    SRE

Related videos

Give Your LLMs a Left Brain thumbnail
27:35

Give Your LLMs a Left Brain

Stephen Chin · Neo4j

World Congress · 2024

Martin O'Hanlon - Make LLMs make sense with GraphRAG thumbnail
24:42

Martin O'Hanlon - Make LLMs make sense with GraphRAG

Martin O'hanlon

LIVE · Apr 2025

Knowledge graph based chatbot thumbnail
24:44

Knowledge graph based chatbot

Tomaz Bratanic

World Congress · 2023

Scaling GraphRAG: Efficient Knowledge Retrieval for AI thumbnail
24:04

Scaling GraphRAG: Efficient Knowledge Retrieval for AI

Gal Shubeli · FalkorDB

World Congress Europe · 2026

Building Blocks of RAG: From Understanding to Implementation thumbnail
26:25

Building Blocks of RAG: From Understanding to Implementation

Ashish Sharma

LIVE · Nov 2024

Lies, Damned Lies and Large Language Models thumbnail
29:40

Lies, Damned Lies and Large Language Models

Jodie Burchell

LIVE · Oct 2024

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.