Optimizing Multimodal Vector Search for E-commerce

Hosted by Philippe Bouzaglou and Trey Grainger

146 students

In this video

What you'll learn

Using visual evals to benchmark embedding quality

We’ll walk through how to perform comparative evals and visualize the quality of embeddings for your queries and dataset

Vector search without a performance hit… is that possible?

Embedding generation takes time and holds back the entire search stack. How can you make it fast?

How to test and roll out embeddings to production

We’ll show you how real ecommerce companies actually roll out vector search to avoid operational risk and max out KPIs.

Why this topic matters

Performance lags or poor search results can derail vector search implementations. Inspired by successful large-scale deployments, this session will teach you how to avoid pitfalls and get your vector search into production with the best outcome. Not all embedding models are created equal. You’ll learn how to integrate high quality embeddings for improved search quality at little performance cost

You'll learn from

Philippe Bouzaglou

Technical Founder at Vectra, the AI foundation model for e-commerce search

Philippe pioneered the concept of the Social Graph while attending Harvard with Mark Zuckerberg. He has since gone on to achieve significant contributions in the fields of data science and machine learning. Recently, he was VP of Data Science and Machine Learning and responsible for search at Gorillas, the quick-commerce company that pioneered grocery delivery within the hour. He is now the technical founder at Vectra, an AI company creating the foundation model for e-commerce search.

Trey Grainger

Founder @ Searchkernel, Author of "AI-Powered Search"

Trey is lead author of the book AI-Powered Search and is the founder of Searchkernel, a software company building the next generation of AI-powered search. He is an advisor to several startups and adjunct professor of computer science at Furman University. He previously served as CTO of Presearch, a decentralized web search engine, and as chief algorithms officer and SVP of engineering at Lucidworks, an search company whose search technology powers hundreds of the world’s leading organizations. You can learn more directly with Trey in the popular AI-Powered Search: Modern Retrieval for Humans & Agents course.

Vectra