What we’re about
Whether you’ve just discovered SurrealDB or you’re already building with it, you’re invited to our meetups in the heart of central London.
SurrealDB London is where agent builders and data-infra folks swap tactics: agent memory, knowledge graphs, hybrid retrieval (vector + graph + full-text), real-time systems, and the practical details of making these things work.
What to expect
- High-signal talks and demos from practitioners
- Patterns for agentic systems: retrieval, memory, and data modelling
- Real-time and event-driven design (subscriptions, triggers, streaming updates)
- Plenty of time for networking over pizza and drinks
Key features of SurrealDB:
- Native multi-model: Document, graph, relational, time-series, key-value, geospatial and full-text/vector search in one engine - no need for stitching tools.
- AI-native data layer: Built for RAG, Graph-RAG and agent memory - vectors + graphs + documents + inference in a single queryable layer.
- Real-time & event-driven: Native subscriptions, triggers and streaming updates so you can power reactive apps without an extra event bus.
- Fast, portable, and simple to operate: A single Rust binary that runs embedded (in-app), in-browser (WASM), at the edge or in distributed clusters.
- Strong consistency & secure by design: Native ACID semantics, fine-grained record-level permissions, RBAC, JWT auth and multi-tenant isolation.
- Enterprise-ready: Proven in production at scale - adopted by major companies for recommendation, AI assistants, analytics and more.
👉 Get started with SurrealDB
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Upcoming events
3
- Network event
Meetup: Knowledge Graphs & Agents
Huckletree Oxford Circus, 213 Oxford Street, London, GB44 attendees from 2 groupsAgentic AI only works as well as the context you can reliably retrieve.
We're kicking off our first meetup of 2026 with a practical deep dive into knowledge graphs + agents. The focus will be on clean graph retrieval patterns: querying a knowledge graph without unnecessary abstraction, keeping type-safety, and getting end-to-end observability (not just LLM calls).
We'll explore:
- Where knowledge graph retrieval fits into modern agent architectures
- A SurrealDB + Pydantic AI pattern for tool-based graph querying
- How to build with type safety + observability baked in
Talks
SurrealDB knowledge graph retrieval tool for a Pydantic AI agent
Martin Schaer (SurrealDB)
Once you have a knowledge graph in SurrealDB, Pydantic AI agent's provide one of the most straightforward ways of querying it, without adding unnecessary layers of abstraction that limit your options, and providing production ready type-safety and full-stack observability (not only for the LLM calls).
Building Agents with Pydantic AI, Logfire and SurrealDB
Chris Samiulluh (Pydantic)
This session explores how to build AI agents by combining three powerful tools: Pydantic AI for agent development, Pydantic Logfire for observability, and SurrealDB as a multi-model database backend. A practical approach to agent development, demonstrating how these tools work together to create applications that are both powerful and maintainable.
Agenda
- 18:00 Doors + drinks
- 18:30 Welcome
- 18:35 Talk 1 + Q&A
- 19:15 Talk 2 + Q&A
- 20:00 Networking
- 20:30 Close
Who should attend?
Software engineers and builders working on agents, RAG, semantic search, knowledge graphs, and anyone who cares about reliable context retrieval and systems you can reason about.
About the speakers
Chris Samiulluh
Chris is VP of Partnerships at Pydantic, the company behind the popular Python validation library with +500 million downloads per month. He focuses on the intersection of AI engineering, observability, and enterprise sales strategy. With over a decade of experience writing code, Chris has deep expertise in scaling machine learning applications and AI engineering. He ran the Beijing Python meetup for two years, mentors junior developers, and continues to create software development tutorials and guides. He is the co-author of the popular Udemy course "Deployment of Machine Learning Models."
Martin Schaer
Martin is a computer science engineer working at SurrealDB and his GenAI startup. He recently worked in lab automation, where he designed and developed a declarative framework for instrument drivers and a 3D visualiser for testing robotic transport solutions. His background also includes founding a successful advertising agency in Costa Rica and extensive work in web development, UX, branding, and digital marketing.
FAQs
Is the venue accessible?
Absolutely! There is a lift that takes you up to Level 4 where the event is held.
Is this event for me?
SurrealDB events are for software engineers, developers, architects, data scientists, data engineers, or any tech professionals keen to discover more about SurrealDB: a scalable multi-model database that allows users and developers to focus on building their applications with ease and speed.
Am I guaranteed a ticket at this event?
Our events are tech-focused and in the interest of keeping our events relevant and meaningful for those attending, tickets are issued at our discretion. We therefore reserve the right to refund ticket orders before the event and to request proof of identity and/or professional background upon entry.
Are there any House Rules?
At SurrealDB, we are committed to providing live and online events that are safe and enjoyable for all attending. Please review our Code of Conduct and Privacy Policy for more information. It is compulsory for all attendees to be registered with a first and last name in order to attend. Any attendees who do not adhere to these requirements will be refused a ticket.6 attendees from this group
Past events
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