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AI DevSummit 2025 + DeveloperWeek Leadership 2025
Subject: Data Access / Management & Operations (AI DevSummit) clear filter
Wednesday, May 28
 

11:00am PDT

PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday May 28, 2025 11:00am - 11:25am PDT
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, member of the Open AI Alliance, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, Shift, JavaOne, Joker... Read More →
Wednesday May 28, 2025 11:00am - 11:25am PDT
AI DevSummit Main Stage

1:00pm PDT

KEYNOTE (AI): Hasura -- Path Towards 100% Accurate & Repeatable Data Agents for AI
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
Praveen Durairaju, Hasura, Field CTO

Achieving 100% accuracy in Retrieval-Augmented Generation (RAG) is critical for AI agents handling complex workflows. But most RAG architectures fail due to goal drift, incomplete reasoning, and multi-step errors.
In this session, we will cover:
Why traditional RAG and tool-calling approaches break down in real-world AI workflows.
Agentic query planning: A structured approach to eliminate errors and improve reliability.
Benchmarking results: The path to achieve 100% accuracy where existing approaches fall short, backed by benchmarks.
Engineering strategies for verifiable, repeatable AI workflows.
We’ll walk through real-world examples and show how structured planning and separate execution fixes common RAG failures.


Live Demo: See how PromptQL ensures accurate, repeatable AI actions in production environments.
Speakers
avatar for Praveen Durairaju

Praveen Durairaju

Field CTO, Hasura
Praveen is a Field CTO at Hasura with over 10 years of full-stack web dev experience. Praveen was a core contributor to open source projects like hasura/graphql-engine and works on solving data access for the AI world. Besides the day job, Praveen runs community meetups like GraphQL... Read More →
Wednesday May 28, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
 
Wednesday, June 4
 

11:00am PDT

[Virtual] PRO Session: Agentic GraphRAG: AI’s Logical Edge
Wednesday June 4, 2025 11:00am - 11:25am PDT
Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful tool to solve domain specific problems where answers require logical reasoning and correlation that can be aided by graph relationships and proximity algorithms. We will demonstrate how an agent architecture combining RAG and GraphRAG retrieval patterns can bridge the gap in data analysis, strategic planning, and retrieval to solve complex domain specific problems. 
Speakers
avatar for Stephen Chin

Stephen Chin

VP of Developer Relations, Neo4j
Stephen Chin is VP of Developer Relations at Neo4j, member of the Open AI Alliance, and author of several titles with O'Reilly, Apress, and McGraw Hill. He has keynoted numerous conferences around the world including AI DevSummit, Devoxx, DevNexus, JNation, Shift, JavaOne, Joker... Read More →
Wednesday June 4, 2025 11:00am - 11:25am PDT
VIRTUAL AI DevSummit Main Stage

1:00pm PDT

[Virtual] KEYNOTE (AI): Hasura -- Path Towards 100% Accurate & Repeatable Data Agents for AI
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
Praveen Durairaju, Hasura, Field CTO

Achieving 100% accuracy in Retrieval-Augmented Generation (RAG) is critical for AI agents handling complex workflows. But most RAG architectures fail due to goal drift, incomplete reasoning, and multi-step errors.
In this session, we will cover:
Why traditional RAG and tool-calling approaches break down in real-world AI workflows.
Agentic query planning: A structured approach to eliminate errors and improve reliability.
Benchmarking results: The path to achieve 100% accuracy where existing approaches fall short, backed by benchmarks.
Engineering strategies for verifiable, repeatable AI workflows.
We’ll walk through real-world examples and show how structured planning and separate execution fixes common RAG failures.


Live Demo: See how PromptQL ensures accurate, repeatable AI actions in production environments.
Speakers
avatar for Praveen Durairaju

Praveen Durairaju

Field CTO, Hasura
Praveen is a Field CTO at Hasura with over 10 years of full-stack web dev experience. Praveen was a core contributor to open source projects like hasura/graphql-engine and works on solving data access for the AI world. Besides the day job, Praveen runs community meetups like GraphQL... Read More →
Wednesday June 4, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
 

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