Jack Pertschuck, former Principal Engineer at Pinecone, discusses what vector databases are and why they matter for AI and search applications. He also discusses the challenges of communicating the value of this technology when the problem isn't widely understood.

Key Takeaways:

Advice for teams looking to adopt vector search technology
The importance of hybrid and cascading retrieval methods
The significance of context engineering and evaluation metrics in AI systems
How Pinecone is democratizing vector database technology for AI and machine learning applications

Guest Bio:

Jack Pertschuk is a former Principal Engineer with Pinecone, the market leader in vector databases. As the company's founding engineer and lead for algorithms, applied research, and platform, Jack is responsible for the roadmap and execution across research and engineering for search index efficiency and accuracy. Prior to Pinecone, Jack was a founder of SidekickQA and creator of the NBoost open source neural ranking engine. He is an active member of the Rust and Information Retrieval research community, and is passionate about solving problems at the intersection of ML and systems.

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About this Show:

The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all!

Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together.

The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API.

Music by: Ari Dvorin

Produced by: Sam Laliberte

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