Hi! 👋🏼
I am the principal consultant of Yalla DevRel and work as the Developer Advocate for EMEA at Couchbase.
I am also a second career developer and previously spent nearly a decade working in the fields of public service, community organizing, and adult education. During my previous career, I was published in places such as Time Magazine, The Boston Globe, The Huffington Post, The Denver Post, and other publications. I am a native Californian who spent a long time living in NYC and Tel Aviv and now reside near Miami.
You can connect me with me on my site, on Twitter or on LinkedIn. I look forward to being in touch!
User expectations are sky-high, while at the same time users have increasing difficulty articulating their complex needs in a simple search bar on a website. This talk dives into leveraging generative AI and vector search to transform vague user queries into results the user actually wanted, even if they did not know initially what they clearly wanted. We will explore why traditional search methods fall short in grasping user intent and address the common problems users face with ambiguous search queries. Learn how GenAI generates embeddings to capture the context and semantics of queries. This talk though is not only about the theory. In the talk you will be shown practical examples of how to generate embeddings, and how to set up vector indexes. See how these advanced search capabilities can transform user interaction and, as a result, business outcomes, making user uncertainty into certainty with GenAI and vector search.