Vector search has turn into a foundational expertise for AI functions, enabling the whole lot from semantic code search to contextual retrieval for giant language fashions. Nonetheless, a significant problem with vector databases has been the associated fee as knowledge storage scales.
Turbopuffer is a vector database that focuses on velocity, value and scalability. It was created by Simon Hørup Eskildsen and Justin Li in 2023 and has seen adoption from high-profile firms resembling Cursor and Notion.
Simon joins the podcast with Gregor Vand to debate the origin of turbopuffer, its distinctive technical design, the economics of vector storage, and extra.
Gregor Vand is a security-focused technologist, and is the founder and CTO of Mailpass. Beforehand, Gregor was a CTO throughout cybersecurity, cyber insurance coverage and basic software program engineering firms. He has been based mostly in Asia Pacific for nearly a decade and may be discovered through his profile at vand.hk.Capital One’s tech staff isn’t simply speaking about multi-agentic AI.
They already deployed one.
It’s referred to as Chat Concierge, and it’s simplifying automobile procuring.
Utilizing self-reflection and layered reasoning with dwell API checks,
It doesn’t simply assist consumers discover a automobile they love.
It helps schedule a take a look at drive, get pre-approved for financing, and estimate trade-in worth.
Superior, intuitive, and deployed: that’s how they stack.
That’s expertise at Capital One.
Constructing agentic AI apps isn’t nearly selecting one of the best LLM.
Brokers want brief‑time period reminiscence, lengthy‑time period recall, and lightning‑quick retrieval. With out it, you’re left with clunky prototypes that by no means scale.
, Redis? The world’s quickest caching answer?
It seems quick knowledge is the important thing to good context. And good context is crucial for quick, correct reminiscence. It’s what makes AI brokers truly work along with your knowledge.
Redis for AI. The appropriate infrastructure. The appropriate instruments. The one method to scale.
Study extra at redis.io/genai
Constructing an app usually looks like a balancing act. You wish to ship options quick – chat, exercise feeds, moderation, video. However constructing them from scratch is sluggish and complicated.
That’s the place Stream is available in. Stream gives developer-friendly APIs that allow you to add real-time communication with out reinventing the wheel.
Why Stream?
First, developer expertise. Stream has clear, open supply SDKs, and nice docs, and you will get a proof of idea operating in hours.
Second, velocity to construct. Experiment, prototype, or launch options shortly – no bank card required to start out.
Stream additionally scales. Over 2,000 international apps, together with Strava, Patreon, Nextdoor, Robinhood, and Peloton, depend on Stream to energy in-app communication for greater than a billion customers.
Whether or not you’re a startup or an enterprise, Stream handles the arduous components so you’ll be able to concentrate on what makes your app distinctive. Get began in the present day at getstream.io/podcast.
