Cross-encoders: An End-to-end Guide
Hosted by Radu Gheorghe and Trey Grainger
Wed, Jun 17, 2026
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

Wed, Jun 17, 2026
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

What you'll learn
What are cross-encoders and their uses?
Trade-offs using cross-encoders vs. standard vector search
An end-to-end walkthrough of using cross-encoders (in Vespa)
Tips and tricks to keep latency and cost in check
Why this topic matters
You'll learn from
Radu Gheorghe
Software Engineer, Vespa.ai
Radu has been in the search space for many years, mainly on Elasticsearch, Solr, OpenSearch, and, more recently, Vespa.ai. Helps users with both the relevance and the operations side of retrieval. Enjoys education in all its forms (training, blog posts, books, conferences...) and got the chance to be involved in all of them.
Trey Grainger
Author, AI-Powered Search
Trey Grainger is lead author of the book AI-Powered Search (Manning 2025) and founder of Searchkernel, a software consultancy building the next generation of AI-powered search. He also serves as a technical advisor at OpenSource Connections.
He previously served as CTO of Presearch, a decentralized web search engine, and as Chief Algorithms Officer and SVP of Engineering at Lucidworks, a search company whose technology powers hundreds of the world’s leading organizations. Trey is also co-author of the book Solr in Action (Manning 2014), as well as over a dozen other publications including books, journals, and research papers. Trey has 18 years of experience in search and data science focused on building self-learning search platforms integrating the most successful AI Search techniques.
Trey teaches AI Search in the course AI-Powered Search: Modern Retrieval for Humans & Agents with Doug Turnbull.
Previously at