Name: CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens - Stephen Chin, Neo4j
Start: 2026-09-10T10:50:00+0900
End: 2026-09-10T11:15:00+0900

2026 September 10-11 | Tokyo, Japan
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

CrabRAG: Why Automated Assistants Need Graph Memory, Not More Tokens - Stephen Chin, Neo4j

Thursday September 10, 2026 10:50 - 11:15 JST

Hall 1F

Autonomous assistants are easy to demo and hard to make reliable. The problem is usually not tool access. It is memory.

Most assistant architectures still treat memory as a chat log plus vector retrieval. That is fine for document question answering, but it breaks down when the assistant must connect conversations, people, tools, and decisions across multiple tool iterations. For an AI engineer, a single request can depend on a Slack thread, a GitHub PR, a failed CI run, a calendar event, and prior operating preferences or constraints. These are not isolated pieces of context. They form a connected state that changes as work progresses and context grows.

In this talk, I’ll show why knowledge graphs, context graphs, and GraphRAG provide a better foundation for OpenClaw-style assistants. Knowledge graphs capture durable entities and relationships. Context graphs capture the operational layer assistants usually lose, including actions, decision traces, provenance, and recency. GraphRAG turns that structure into task-time context by combining graph traversal, semantic retrieval, and tool use.

Attendees will leave with practical patterns for schema design, retrieval routing, and evaluation, plus a concrete blueprint for assistants that remember more than the last prompt and retrieve more than the nearest chunk.

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Presentation Language: English

Captioning will be available for attendees in 50+ languages through Wordly. See instructions in each room to utilize captioning.

Speakers

Stephen Chin

VP of Developer Relations, Neo4j

Stephen Chin is VP of Developer Relations at Neo4j, conference chair of the LF AI & Data Foundation, and author of numerous titles including the upcoming GraphRAG: The Definitive Guide for O'Reilly. He has given keynotes and main stage talks at numerous conferences around the world... Read More →

Thursday September 10, 2026 10:50 - 11:15 JST
Hall 1F

Agentic Engineering

Audience Level Any
Presentation Language English

AGNTCon + MCPCon Japan 2026

Stephen Chin

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AGNTCon + MCPCon Japan 2026

Stephen Chin

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