From “Shazam for Cars” to agentic AI — a Vespa Voice conversation with Kamran Khan, CEO of Pureinsights
We recently teamed up with our partners at Vespa for a candid and forward-looking conversation on how search is driving the next wave of GenAI innovation.
In this episode of Vespa Voice, our CEO Kamran Khan joins Bonnie Chase to talk through the evolution of enterprise search—from keyword to vector to multimodal—and why Retrieval-Augmented Generation (RAG) and agentic AI are changing the way enterprises think about building real-world AI applications.
🎥 Watch the full episode below or watch on YouTube
🔍 Highlights from the conversation:
- “Shazam for cars”: A real-world GenAI application using audio search to help engineers diagnose engine problems
- Semantic search for publishers: How content-driven organizations are combining keyword, vector, and generative search to retain subscribers
- Why GenAI fails without good search: Foundational advice on preparing your data and avoiding hallucinated answers
- Agentic AI in the enterprise: Practical use cases in onboarding, legal intake, and surfacing niche market research
- Data readiness + production realities: What to consider before jumping from proof-of-concept to deployment
Kamran also shares cautionary tales and success stories from customers who moved beyond GenAI hype—and built solutions that actually work.
“Search isn’t just part of GenAI—it’s the foundation. Without good search, you’re just generating irrelevant answers faster.”
Want to See GenAI Search in Action?
We’re helping organizations combine keyword, vector, and generative search into smarter, more scalable AI solutions. If you’re curious what that looks like on your content, we’d love to show you.
Related Content
- Discovery 2.2 + Vespa.ai – Unlocking Hybrid Search at Scale
- Understanding AI Agents and Agentic AI — Without the Hype