MUG London : MongoDB - Innovations in Data Streams and Vector Search for Next-Gen Applications
Join us at the MongoDB UK Office in London for engaging technical talks where we explore two key innovations in modern app development. First, discover how MongoDB Change Streams can enable real-time, event-driven architectures to power dynamic systems. Then, learn how vector-powered search technology can handle complex and unstructured free-text queries, helping your apps deliver smarter and more accurate results.
We will conclude the event with networking, pizzas and a MongoDB trivia!
Registration
Reserve your spot here. Limited seats are available.
Agenda
Doors will open at 17:30, please come early so that we can chat before the talks begin.
| Time | Topic |
|---|---|
| 17:30 - 18:30 | Welcome and Registration (with Food and Drinks) |
| 18:30 - 19:15 | Session 1: MongoDB Change Streams: Powering Real-Time Event-Driven Architectures (Abhishek Bagga, Digital Consultancy Services / Cognizant) |
| 19:15 - 20:00 | Session 2: Lost in Translation? How can your Vector-powered app deal with the wildest Free Text queries (Ben Gutkovich, Co-Founder Superlinked) |
| 20:00- 20:30 | Fun Trivia and Networking |
Sessions
Session 1: MongoDB Change Streams: Powering Real-Time Event-Driven Architectures
In this session, we’ll explore how MongoDB Change Streams enable developers to build resilient, event-driven systems that react in real time to data changes. You’ll learn how to:
- Leverage Change Streams to capture database events, such as inserts, updates, and deletes, and integrate them seamlessly into microservices, notifications, and data pipelines.
- Dive into real-world use cases, discover best practices for ensuring resilience and scalability, and get tips for minimizing downtime.
This session is perfect for developers seeking to enhance their systems with reactive architectures using MongoDB.
Session 2: Lost in Translation? How can your Vector-powered app deal with the wildest Free Text queries
Vector embeddings are poised to power a variety of real-time use cases, from RAG to Semantic Search to Fraud detection. You saw the demos, but do you know what it actually takes to launch vector-powered systems into production? Hopefully, you are not thinking about “adding heuristic filters”, “building complex ranking models” or “fine-tuning LLMs”. You need a way to combine large pre-trained models that process the unstructured parts of your data like text and images with models trained on your structured data - clicks, relationships, timestamps and beyond. You need a way to express your objective when you generate the search vector. And importantly - you need to build feedback loops.
Speakers
Abhishek Bagga
Principal Architect-Consulting, Technology Modernisation - Cognizant
Ben Gutkovich
Co-Founder Superlinked
Sani Yusuf
Founder, Haibrid
Leader, London MongoDB User Group
Where?
Event Type: In-Person
Location: MongoDB Office
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