Build a vector database from scratch
Hosted by Doug Turnbull and John Berryman
Wed, May 7, 2025
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
Wed, May 7, 2025
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
401 students
Go deeper with a course
What you'll learn
Learn how embedding similarity search works
See where vector search goes wrong
Deepen your vector search knowledge
Why this topic matters
You'll learn from
Doug Turnbull
Search Consultant and Coach
Doug has done embedding-based retrieval since using Latent Semantic Indexing to generate search synonyms in 2013. Author of Relevant Search + AI Powered Search, he now helps teams build RAG and search applications. Previous work includes leading search at Reddit, Shopify, and several AI Startups..
John Berryman
Founding member Github Copilot
John Berryman is the founder and principal consultant of Arcturus Labs, where he specializes in AI application development (Agency and RAG). As an early engineer on GitHub Copilot, John contributed to the development of its completions and chat functionalities, working at the forefront of AI-assisted coding tools. John is coauthor of Prompt Engineering for LLMs (O'Reilly). Before his work on Copilot, John's focus was search technology. His diverse experience includes helping to develop next-generation search system for the US Patent Office, building search and recommendations for Eventbrite, and contributing to GitHub's code search infrastructure. John is also coauthor of Relevant Search (Manning), a book that distills his expertise in the field. John feels fortunate to have worked at the intersection of cutting-edge AI applications and foundational search technologies, giving him the opportunity to contribute to innovation in both LLM applications and information retrieval.
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