WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
WeAreDevelopers LIVE • Apr 15, 2025

Martin O'Hanlon - Make LLMs make sense with GraphRAG

Martin O'hanlon

Martin O'Hanlon argues vector embeddings alone cannot stop AI hallucinations. Discover how GraphRAG acts as your LLM's right brain, injecting deterministic truth into unstructured workflows.

Pause
Mute Enter Fullscreen
#1 about 3 min

Hallucinations and factual inaccuracies in generative language models

Generative models frequently fabricate information and present it as undisputed truth when lacking access to private or updated data.

#2 about 5 min

Demonstrating language model hallucinations with custom system prompts

Injecting structured localized data into system prompts constrains conversational outputs and meaningfully reduces model hallucinations.

#3 about 3 min

Enhancing model accuracy with retrieval augmented generation patterns

Pairing language features with robust data retrieval architectures seamlessly grounds generated text in verifiable domain facts.

#4 about 5 min

Structuring connected data using graph database architectural fundamentals

Graph databases optimally organize complex ecosystems using systematically interconnected nodes and explicit relationship properties.

#5 about 5 min

Limitations of vector embeddings for precise factual querying

While vector embeddings streamline fuzzy semantic searches, they consistently struggle to reliably resolve strict arithmetic or fact-oriented constraints.

#6 about 6 min

Integrating knowledge graphs to provide verified application context

Mapping unstructured enterprise information into explicit factual networks empowers language applications to correctly evaluate nuanced logical conditions.

#7 about 2 min

Implementing graph generation and automated contextual querying methodologies

Automated extraction utilities effectively synthesize unstructured text into traversable databases to continuously supply contextual data pipelines.

Matching moments

2:26 min

Enhancing language models with graph retrieval augmented generation

1:44 min

Introduction to generative AI and knowledge graphs

Michael Hunger Michael Hunger · World Congress 2024

2:05 min

Enhancing language models with retrieval-augmented generation

Mary Grygleski Mary Grygleski · LIVE

2:22 min

Unlocking generative AI capabilities using knowledge graphs

Zaid Zaim Zaid Zaim +1 · World Congress 2026 Europe

3:29 min

Mitigating artificial intelligence hallucinations with constraints and context

Jemiah Sius Jemiah Sius · World Congress 2024

1:53 min

Overcoming language model challenges using retrieval-augmented generation

Ashish Sharma · LIVE

More from WeAreDevelopers LIVE

Fake or News: AI Agents Hire Each Other, Spider-Man Ads in Cars & RAM Thieves - Marc Plogas thumbnail
5:46
2 days ago

Fake or News: AI Agents Hire Each Other, Spider-Man Ads in Cars & RAM Thieves - Marc Plogas

Chris Heilmann, Daniel Cranney, Marc Plogas

WeAreDevelopers - Of Agents and Robots thumbnail
1:04:42
3 days ago

WeAreDevelopers - Of Agents and Robots

Chris Heilmann, Daniel Cranney, Marc Plogas

WeAreDevelopers LIVE - How DevRel Makes Tech More Human thumbnail
48:06
10 days ago

WeAreDevelopers LIVE - How DevRel Makes Tech More Human

Chris Heilmann, Daniel Cranney

Fake or News: Smart Glasses in Court, Medical Advice Watches & Mushroom Electonics - Jason Torres thumbnail
7:41
11 days ago

Fake or News: Smart Glasses in Court, Medical Advice Watches & Mushroom Electonics - Jason Torres

Chris Heilmann, Daniel Cranney

Aliens in Quarantine, Python Deprecates Loops, and AI Buys Old Books - Zbyszek Tenerowicz thumbnail
5:43
23 days ago

Aliens in Quarantine, Python Deprecates Loops, and AI Buys Old Books - Zbyszek Tenerowicz

Chris Heilmann, Daniel Cranney

WeAreDevelopers LIVE - Node and Package Security thumbnail
1:08:30
24 days ago

WeAreDevelopers LIVE - Node and Package Security

Chris Heilmann, Daniel Cranney, Zbyszek Tenerowicz

Upcoming sessions on this topic

Open session

World Congress 2026 North America

Loop Engineering

Li Yin

CEO

Li Yin
Open session

World Congress 2026 North America

Building World-Aware Robots with Agent Memory and Context Graphs

Zaid Zaim

Developer Advocate EMEA at Neo4j | Microsoft AI MVP

Zaid Zaim
Open session

World Congress 2026 North America

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
Open session

World Congress 2026 North America

Understanding LLM Architectures: Inside the Design of Modern Models

Jofia Jose Prakash

Director - AI & Governance at Humanity + AI, Inc

Jofia Jose Prakash
Open session

World Congress 2026 North America

You Can’t Re-Run Sunlight: Designing ML Data Architectures for Physical AI

An Phan

Senior Data Infrastructure Engineer @ Hippo Harvest

An Phan
Open session

World Congress 2026 North America

DeepAgents: Build Multi-Agent AI Systems That Actually Work

Anagha Rumade, Anjana Umapathy, Apoorva Jaiswal

Anagha Rumade
Anjana Umapathy
Apoorva Jaiswal

Related videos

Large Language Models ❤️ Knowledge Graphs thumbnail
29:11
World Congress 2024 • about 2 years ago

Large Language Models ❤️ Knowledge Graphs

Michael Hunger

Scaling GraphRAG: Efficient Knowledge Retrieval for AI thumbnail
24:04
World Congress 2026 Europe • about 2 months ago

Scaling GraphRAG: Efficient Knowledge Retrieval for AI

Gal Shubeli

Give Your LLMs a Left Brain thumbnail
27:35
World Congress 2024 • about 2 years ago

Give Your LLMs a Left Brain

Stephen Chin

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j thumbnail
46:51
over 1 year ago

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

Knowledge graph based chatbot thumbnail
24:44
World Congress 2023 • almost 3 years ago

Knowledge graph based chatbot

Tomaz Bratanic

Building Blocks of RAG: From Understanding to Implementation thumbnail
26:25
LIVE • almost 2 years ago

Building Blocks of RAG: From Understanding to Implementation

Ashish Sharma

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.