GraphRAG and Accurate GenAI
Keep the momentum going. Check out below for our session information and links to Neo4j presentations as well as next steps to continue your journey.
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Session Recaps:
Intro to GraphRag
June 3 | 9:00 AM - 10:20 AM
Location: Golden Gate Ballroom C
Speaker: Zack Blumenfield, Sr Product Specialist at Neo4j
In this workshop, you will learn the fundamentals of Graph RAG. You will start with knowledge graph construction, then exercise different graph retrieval patterns from vector search to pattern matching.
You will:
- Understand knowledge graph modeling
- Become familiar with Cypher, the query language for graphs
- Use embeddings to perform similarity search
- Use pattern matching to find related parts of the graph
- Work in Python with the neo4j-graphRAG package
Missed the session, or looking for more insights?
Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics
June 3 | 1:00 PM - 3:00PM
Location: Golden Gate Ballroom C
Speaker: Alison Cossette, Data Science Advocate at Neo4j
RAG gets more powerful when retrieval is smart—and graphs make it smart. In this hands-on workshop, you’ll learn how to apply graph analytics to enrich data, improve retrieval quality, and enable structured reasoning.
We’ll build practical examples in Python notebooks. You’ll learn how to create and query knowledge graphs, apply algorithms like community detection and personalized PageRank for context selection, and use embeddings to capture semantic structure. Then, we’ll show how to feed that enriched context into language models to improve relevance, interpretability, and performance on real-world tasks.
By the end, you’ll leave with working code, reusable patterns, and a toolkit for combining symbolic graph reasoning with modern LLMs—ideal for building smarter agents, domain-specific copilots, or advanced QA systems.
Missed the session, or looking for more insights?
June 4th | Sessions:
Agentic GraphRAG: AI’s Logical Edge
June 4 | 1:30 PM
Location: Nobhill A&B: Expo Session
Speaker: Stephen Chin, VP Developer Relations at Neo4j
Practical GraphRAG - Making LLMS Smarter with Knowledge Graphs
June 4 | 2:00 PM
Location: Golden Gate Ballroom B: GraphRAG Track
Speaker: Michael Hunger, VP Product Innovations at Neo4j, Jesus Barrasa, Field CTO, GenAI at Neo4j, and Stephen Chin, VP Developer Relations at Neo4j
June 5th | Sessions:
Why Your Agent’s Brain Needs a Playbook: Practical Wins for Using Ontologies
June 5 | 10:45 AM
Location: Juniper: Expo Session
Speaker: Jesus Barrasa, Field CTO, GenAI at Neo4j
Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data
June 5 | 12:45 PM
Location: Nobhill A&B: Expo Session
Speaker: Zack Blumenfield, Sr Product Specialist at Neo4j
See the full post event recap from AI Engineer World’s Fair YouTube
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Further Resources on GraphRAG
On-Demand Intros to Accurate GenAI and Graph Databases
Check out a 30-minute introduction into how to:
- Build accurate, explainable GenAI applications
- Uncover hidden patterns to reveal relationships and insights in connected data
- Work with a graph database ⸺ zero JOINs and fast querying
On-Demand Webinar: Get More GenAI Pilots off the Ground
Organizations are investing heavily in GenAI pilots as the market heads toward $1.3 trillion by 2032[1]. However, many of these pilots fail to reach production because they produce inaccurate, incomplete, or irrelevant responses.
The good news? You can overcome these challenges by combining knowledge graphs and RAG into GraphRAG to your LLMs for accurate, explainable responses. Watch this on-demand webinar to learn how.
Build Your AI Startup with Neo4j
Sign-up for updates about the new NEO4J STARTUP PROGRAM ON AURADB.
Free, Hands-on Training to Build Knowledge Graphs, GenAI, and More
Get self-paced training for all levels of experience. Learn to build accurate GenAI applications, how to query, and all things graphs.
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