Join us at Neo4j Government GraphTalk, an after-work networking opportunity to meet with peers and graph experts.
In this edition in Bristol we will particularly focus on Knowledge Graphs and Large Language Models. LLMs are amazing but are also black-box models that often fail to capture and accurately represent factual knowledge. Knowledge graphs, by contrast, are structural knowledge models that explicitly represent knowledge and, indeed, allow us to detect implicit relationships. At this event we will demonstrate how LLMs can be improved by Knowledge Graphs, and how LLM’s can augment Knowledge Graphs. Together, graph databases and LLMs offer a powerful solution for uncovering hidden connections and patterns within complex datasets, driving informed decision-making and uncovering valuable knowledge from the wealth of interconnected information. A perfect couple!
Where can LLMs be used across across Government - cybersecurity and thread analysis, policy analysis, trend analysis, crisis management…? In light of the recent AI Summit at Bletchley Park what are the ethical concerns? How can retrieval-augmented generation (RAG) be applied to improve the quality of responses?
Whether you are new to graph databases and graph data science or have some experience, this evening will provide you with the knowledge you need to get started with this powerful technology. This is an informal ‘Chatham House Rules’ networking discussion for a small and select community.
Agenda:
- 18:00 - Food, drinks and networking
- 18:30 - Panel discussion lead by Jesus Barrasa, RVP Engineering Neo4j, and Phininder Balgharan, Global AI Capability Lead for QinetiQ
- 19:00 - LLM & Knowledge Graph demo by Joe Depeau, Field Engineer, Neo4j and Phininder Balgharan, Qinetiq
- 19:30 - Close with networking and nibbles
- Space at this in-person event is strictly limited and by invitation only, so please reserve your seat early by registering on the right of this page.
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