MUG London: Innovations in Data Streams and Vector Search for Next-Gen Applications

Abhishek_Bagga · 2024-11-12T00:17:11.398Z

MUG London : MongoDB - Innovations in Data Streams and Vector Search for Next-Gen Applications

MUG - Design Kit (4)1920×1080 263 KB

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 copy

Ben Gutkovich

Co-Founder Superlinked

Sani Yusuf

Founder, Haibrid
Leader, London MongoDB User Group

Where?

Event Type: In-Person
Location: MongoDB Office

Harshil_Patel1 · 2024-11-28T23:16:44.423Z

Looking forward it this one!!

Ben_Gutkovich · 2024-12-02T14:25:52.865Z

Team,

In my session, I’ll be talking about how you could use Atlas Vector Search with Superlinked to deliver high quality results to even the most complicated queries! Learn more: Why Superlinked? | Superlinked Docs

Excited to meet the MongoDB pros in London!