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Jon Bratseth, Founder & CEO, Vespa.ai
Jon is CEO and cofounder of Vespa.ai, and the architect and one of the main contributors to Vespa, the leading AI search platform.
An in-person event for the practitioners shaping the next generation of AI-powered search and retrieval systems.
This year's agenda includes speakers from Etsy, Walmart, Ravenpack, and more.
Join us the day before for hands-on Vespa training sessions, with a one-hour lunch break to network with fellow attendees, and the Vespa team.
Vespa 101: Perfect for beginners getting started
Ranking 202: A deeper dive into improving retrieval quality
On September 9, London’s search community is coming together for a special evening dedicated to Search, Information Retrieval and AI.
This event is a collaboration between the London Information Retrieval & AI Meetup Group, the London Search & AI User Group and Vespa AI Live, bringing together three communities around a shared interest: exploring how search is evolving, from established Information Retrieval techniques to the latest AI-powered approaches.
Pick up your badge, grab a hot or cold drink, and get conversations started early.
Join us as we kick off Vespa.ai Live.
All You Need to Solve Everything is to Have the Right Information at the Right Time
Drawing from decades of experience building large-scale search and recommendation platforms, Jon will explore the architectural shifts driving today’s most advanced AI experiences across commerce, search, recommendation, and agentic applications.
Cem talks about his personal search journey with Vespa starting in early 2000s. He will talk about his approach to making Vespa available for various verticals, emphasizing potential pitfalls and short-term gains. Names of the innocents will be redacted.
Etsy's Vespa adoption from agentic auto-research to PyVespa automation. A field report from our first year adopting Vespa for search and ads at Etsy.
As vector databases move toward billion-scale datasets, the memory and computational overhead of the HNSW index becomes a significant bottleneck. This talk chronicles an engineering journey into the internals of Vespa, exploring a provocative question: Can we eliminate the HNSW index entirely for high-volume financial data?
At Vespa we keep a JIRA project called PROBLEM. Several hundred tickets in, we have a small archive of stories that taught us something — usually about ourselves. This talk is four of them.
In this talk, we introduce “wormhole vectors” and how to use them in Vespa to outperform today's hybrid search approaches. Wormhole vectors are an emerging technique that enables jumping between corresponding regions of disparate vector spaces (sparse lexical, dense semantic, dense behavioral, etc.) at query time to discover relationships that better inform query understanding and ranking.
Enjoy a delicious lunch between sessions.
Learn how Kleinanzeigen evolved from a legacy search-first relevance system to a Vespa-powered recommendation platform. This session shares real-world lessons from a production PoC, covering incremental migration, embeddings, attribute extraction, multimodal signals, and the challenges of modernizing retrieval and ranking with imperfect data.
What I've learned from nearly a year of autoresearching search relevance.
Take a break before the next set of sessions.
This talk explores two open-source tools that leverage large language models to help with search quality evaluation: the Dataset Generator to generate queries and ratings from your corpus of information and the Vector Search Doctor to diagnose possible causes of the poor performances of your vector search implementation.
Join leaders from Vespa.ai, Vinted, Searchplex, and beyond as they discuss the future of search.
A series of short talks submitted on the day and selected by attendee vote.
Join us as we wrap up Vespa.ai Live.
Drinks, snacks, and networking with peers.
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Jon is CEO and cofounder of Vespa.ai, and the architect and one of the main contributors to Vespa, the leading AI search platform.
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Doug is a Retrieval Consultant at Software Doug, LLC. He also authored Relevant Search and AI Powered Search.

Gregg is a Senior Staff Engineer at Etsy, where he works on search and machine learning.

Dainius is a Senior ML Architect at Ravenpack, mostly focusing on the scale and performance side of search.




Daniele is a software engineer at Sease, passionate about high-performance data structures and algorithms.

Alessandro Benedetti is an Apache Lucene/Solr committer and Solr chair of the PMC, Director at Sease Ltd.

Dr. Ünsal currently serves as a Distinguished Engineer at Walmart, where he focuses on the strategic development of agentic AI ecosystems and scalable backend architectures.

Andreas has worked at Vespa for 15 years, doing product development, SRE/oncall, sales engineering, advent calendars, and whatever else needs doing.

Marlon Saglia is a Senior Site Reliability Engineer at Vespa.ai. On a good day he keeps the platform up; on a worse day he writes the post-mortem.

Ravindra Harige is the founder of Searchplex, a firm focused on designing and building scalable AI-native retrieval and discovery systems across multiple industry verticals.

Andrius is a Lead Backend Engineer at Vinted where he works on the content balancing & ranking solutions in search.

Atita has nearly two decades of hands-on search and AI engagements, with senior roles at Voyager Search, Qdrant, and OpenSource Connections, and now runs an independent AI advisory practice. She works across the full spectrum of search, from classic relevance engineering to vector, hybrid, and agentic systems, guided by one conviction: most AI failures aren't failures of technology, they're failures of diagnosis. PMC member of Apache OpenNLP and co-lead of Women of Search.

Here are some suggestions for hotels near the venue. Prices range from £160-300 per night for dates in September. Of course, London has many other options for accommodation, but these are closest to the venue:
You can still be part of Vespa.ai Live from wherever you are. Register for the livestream to watch technical sessions as they happen. You'll also have the opportunity to submit questions and have them answered live by speakers during the Q&A sessions.
Registration is required to access the livestream, so sign up today to reserve your spot and receive your viewing details before the event.


Be part of the growing community driving the future of AI search, RAG, personalization, and recommendation systems.
Join us in person or reserve your spot to watch the livestream.