Tuning HNSW parameters for filtered search
Hosted by Radu Gheorghe and Trey Grainger
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
103 students
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.
Trey Grainger
Founder @ Searchkernel; Author, 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. Trey in an instructor for the AI-Powered Search course on Maven.
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