Tuning HNSW parameters for filtered search
Hosted by Radu Gheorghe and Doug Turnbull
Thu, Apr 16, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
Thu, Apr 16, 2026
5:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
Why filters make HNSW vector search slow
Parameters to improve performance/recall
Tools to tune vector search filter search
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
Retrieval + Snuggie Enthusiast
In 2012, Doug got bit by the search bug and he's still trying to keep up. From full-text search, to Learning to Rank models, to search agents that generate their own code, he knows the overwhelming landscape first hand. Yet Doug still works to deeply understand the what / how / why, and help teams use these technologies practically, distinguishing hype from reality.
He’s led search at Reddit, Shopify, and Wikipedia, authored Relevant Search and AI Powered Search, and advised 100+ organizations over the years - all in pursuit of the same question: how does search actually work?
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