Name: Beyond the hype: The "Day 2" guide to vector search in production
Start: 2026-05-27T14:00:00+0200
End: 2026-05-27T14:30:00+0200

Beyond the hype: The "Day 2" guide to vector search in production

FULL

Wednesday May 27, 2026 14:00 - 14:30 CEST

👾 DEV/TECH ARENA

Limited Capacity full
Adding this to your schedule will put you on the waitlist.

Vector Search has quickly moved from a niche ML requirement to a core capability for modern applications. But while "Hello World" tutorials make it look easy, the reality of managing high-dimensional data at scale is a different story. What happens when you change your embedding model? How do you handle the cost of indexing millions of vectors? How do you avoid the "black box" performance trap?

In this session, we move past the AI hype to look at the practical realities of implementing Vector Search. Drawing from real-world experiments to production, we will compare how major players like MongoDB, Elasticsearch, and OpenSearch handle vector workloads differently.

**Attendees will walk away with:**

* **A "Go/No-Go" Framework:** When to use Vector Search vs. when traditional keyword search is actually superior.
* **Managing the Lifecycle:** Strategies for handling breaking changes in embeddings and re-indexing strategies that won’t crash your production environment.
* **Optimization Tactics:** Practical ways to reduce vector dimensionality and latency without sacrificing retrieval quality.
* **The Cost-Benefit Matrix:** A direct comparison of performance vs. infrastructure overhead across different database providers.

Whether you are a Software Developer that is working for RAG / Search / Recommendation systems or an ML Engineer, this talk provides the "missing manual" for building search systems that are as maintainable as they are "intelligent."

Speakers

Guilherme De Freitas Guitte

Staff Engineer - Recommendations, ADEO Services

Staff Engineer at ADEO (Leroy Merlin, Bricoman), technical leader in recommendation systems. With 15 years of experience in developing publication systems for e-commerce platforms, he now drives and builds the technical vision / strategy of an omnichannel, multi-country recommendation... Read More →