Beyond chunks - how to actually data model for RAG
Hosted by Radu Gheorghe and Doug Turnbull
Fri, Nov 21, 2025
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
By continuing, you agree to Maven's Terms and Privacy Policy.
Go deeper with a course

Fri, Nov 21, 2025
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

What you'll learn
Why preferring large documents works best for RAG
The ideal data model for RAG retrieval
How to surface the most relevant chunks
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.
Doug Turnbull
Agentic Search Consultant
Doug Turnbull helps clients build better agentic search systems. He led machine-learning-driven search initiatives at Reddit, significantly improving search relevance through Learning to Rank methods. Doug also advanced e-commerce search at Shopify and served as CTO at OpenSource Connections. He co-authored the influential book Relevant Search (Manning, 2016) and created popular open-source tools, including Quepid and the Elasticsearch Learning to Rank plugin. He regularly speaks at industry conferences, making search relevance accessible to engineers.
Previously at
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