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We are delighted to announce the 25th London Information Retrieval & AI Meetup, a free evening event aimed at enthusiasts and professionals curious to explore and discuss the latest trends in the field. The event is part of the London Search Week, a week of search & AI events in London starting November 24th 2025.

This time, the Meetup is Hybrid, with a live event in London streamed online on Zoom!

ATTENTION: Remember to fill out the form to confirm the registration and receive the link to the virtual event.

>>>> IN-PRESENCE MEETUP

Location:

BCS London Headquarters, Ground Floor, 25 Copthall Avenue EC2R 7BP

open doors: 6:00 PM

>>>> ONLINE MEETUP

Location: Zoom

open doors 6:15 PM You will receive the virtual event link after completing the form.

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The event will be structured around 3 technical talks, each followed by a Q&A session. The event will end with a networking session.

> Open doors from 6:00 PM (in-person) > 6:15 PM open doors for virtual attendees

  • Welcome & Latest News - Alessandro Benedetti, Director @ Sease

> 06:30 PM First talk Using Tensor and Rank Profile Math to Combine Dense and Sparse Signals Radu Gheorghe - Software Engineer @ Vespa.ai

> 07:15 PM Second Talk From Infection Prevention to Knowledge Extraction: Showcasing Information Retrieval in the Medical Domain Gregor Donabauer \| PhD student and Research Officer @University of Regensburg

> 08:00 PM Third Talk Professional Search in the Age of Large Language Models Samy Ateia \| PhD student @University of Regensburg + Freelance Software Engineer

> Networking session + buffet

For more info, including speaker bios, abstracts and timing, please check our website https://sease.io/

London Information Retrieval & AI Meetup November 2025

Abstract: Models need up-to-date facts (data) to solve tasks. But data (retrieval) needs models, too: for semantic search and for ranking top candidates. At this meetup, we will go through the data/model interplay: you will learn how to transform problems into the numeric domain using tensors, and with this, work with text, image, and videos.\nWe’ll do live demos from e-commerce and media. Whether it’s personalizing the shopping experience in real time or finding the next song to autoplay, this session will help you think beyond LLMs—and design retrieval-first GenAI systems that deliver real-world impact.

genai llms retrieval semantic search tensors
Thoughtworks hosts AI Camp Berlin: GenAI, LLMs and Agents
Radu Gheorghe – author , Matthew Lee Hinman – author , Roy Russo – author

Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You'll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you'll pick up the core concepts you need to implement basic searches and efficient indexing. With the fundamentals well in hand, you'll go on to gain an organized view of how to optimize your design. Perfect for developers and administrators building and managing search-oriented applications. About the Technology Modern search seems like magic'you type a few words and the search engine appears to know what you want. With the Elasticsearch real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work. About the Book Elasticsearch in Action teaches you how to write applications that deliver professional quality search. As you read, you'll learn to add basic search features to any application, enhance search results with predictive analysis and relevancy ranking, and use saved data from prior searches to give users a custom experience. This practical book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using cURL, so they're easily translatable to other languages. What's Inside What is a great search application? Building scalable search solutions Using Elasticsearch with any language Configuration and tuning About the Reader This book is for developers and administrators building and managing search-oriented applications. About the Authors Radu Gheorghe is a search consultant and software engineer. Matthew Lee Hinman develops highly available, cloud-based systems. Roy Russo is a specialist in predictive analytics. Quotes To understand how a modern search infrastructure works is a daunting task. Radu, Matt, and Roy make it an engaging, hands-on experience. - Sen Xu, Twitter Inc. An indispensable guide to the challenges of search of semi-structured data. - Artur Nowak, Evidence Prime The best resource for a complex topic. Highly recommended. - Daniel Beck, juris GmbH Took me from confused to confident in a week. - Alan McCann, Givsum.com

data data-engineering search elasticsearch Analytics API Bash Cloud Computing Data Science ELK
O'Reilly Data Engineering Books
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