Registration of interest open
Sydney
- Date
- TBC
- Venue
- TBC
- Host
- TBC
Vector search alone tells an AI agent what is similar, not what is true. Independent research now puts hard numbers on that gap.
For data, AI architecture, knowledge, data governance and technology leaders.
For two years the industry argued about grounding on instinct. An independent study has since tested it, and the difference between retrieving what looks relevant and retrieving what is verifiably connected turns out to be large enough to change architecture decisions.
That is the starting point for this series. Not a product session, and not a briefing. A table of senior people working through what changes when structure becomes part of retrieval, what it costs to get there from an existing estate, and what an explainable answer has to look like when a regulator is the one asking.
Six cities across APAC, between October and November 2026. Each table runs under the Chatham House Rule.
Independent study by the UK National Innovation Centre for Data, sponsored by Neo4j, 2026.
Each table works through the same three questions, shaped by what the room brings to them.
Retrieval that ranks by closeness will happily return a confident, plausible, wrong answer. The first question is where each organisation has already hit that ceiling, and how it showed up: in an audit, an escalation, or a project that quietly stalled.
// tension: what is similar is not what is trueRelationships between entities carry information that no embedding captures. This session looks at what changes when that structure is modelled explicitly and made available to agents at query time, and what it costs to get there from an existing estate.
// differentiator: GraphRAG, structure plus vector searchExplainability moves from a nice to have to a filing requirement the moment an agent touches a regulated decision. The table works through what traceable output has to look like in practice, and who inside the organisation ends up owning it.
// trigger: The Context Gap analysis, published 11 April 2026Each city is its own table with its own room, confirmed independently. Registration of interest is open now, with dates and venues confirmed city by city.
Agentic systems are the future of software. They need contextual reasoning, persistent memory, and accurate, traceable outputs, all of which graph technology is uniquely designed to deliver.
Emil Eifrem Co-founder and CEO, Neo4j
Published Neo4j material behind the questions on the table. Share your details once to unlock all three.
Tell us which city suits you and we will come back to confirm your spot.
Neo4j created the graph database category, forming a Swedish company around its engine in 2007 and open sourcing the result. Cypher, the query language they wrote to traverse it, is the syntax used throughout this page.
The company now describes itself as a graph intelligence platform, and in its own words the knowledge layer for accurate, explainable and trusted AI.
Innovatus Media is a Sydney based B2B events agency that runs invitation-only executive roundtable series across APAC, EMEA and North America.
We convene senior decision makers for closed door conversations on the problems they are actually working on, and produce every element of the series end to end, from the room and the table to the follow up.
Connect for more details on the series.