Evolving AI Solutions: From Data Labeling to Vector Databases

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This chapter tracks the journey of a software startup that transitioned from improving machine learning model performance to creating a specialized vector database for AI applications. It highlights the company's unique approach to developer experience, retrieval accuracy, and their commitment to becoming a key player in AI model memory and storage solutions.

Chroma is an open-source AI application database.

Anton Troynikov is a Founder at Chroma. He has a background in computer vision and previously worked at Meta. In this episode Anton speaks with Sean Falconer about Chroma, and the goal of building the memory and storage subsystem for the new computing primitive that AI models represent.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.