Turbopuffer with Simon Hørup Eskildsen

Turbopuffer with Simon Hørup Eskildsen

2 Min Read

Creating effective AI apps involves more than selecting the best LLM.

Agents require short-term memory, long-term recall, and rapid retrieval. Without these, prototypes remain inefficient and unscalable.

Remember Redis? It’s the fastest caching solution globally.

Fast data is crucial for good context, which is vital for accurate memory. This enables AI agents to effectively use your data.

Redis for AI offers the perfect infrastructure and tools essential for scaling.
Discover more at redis.io/genai

App development often seems like balancing priorities. Shipping features quickly—such as chat, activity feeds, moderation, and video—can be slow and complicated when built from scratch.

That’s where Stream helps. It offers developer-friendly APIs for adding real-time communication without starting from scratch.

Why choose Stream?

First, for the developer experience. Stream provides clean, open-source SDKs, and comprehensive documentation, allowing proof of concept within hours.

Second, for rapid development. Experiment, prototype, or introduce features swiftly—no credit card needed to begin.

Stream is also scalable. Over 2,000 global apps, such as Strava, Patreon, Nextdoor, Robinhood, and Peloton, use Stream for in-app communication supporting over a billion users.

Stream takes care of the complexities, letting startups and enterprises focus on what makes their apps unique. Begin today at getstream.io/podcast.

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