Episode 12: Chroma co-founders Anton Troynikov & Jeff Huber

Season One of Thursday Nights in AI is in the books. Catch our conversation with Jeff Huber and Anton Troynikov, Cofounders of Chroma, on open-source, embedding databases, building developer love, and where their product goes from here. Season two here we come! This fireside chat is part of our 'Thursday Nights in AI" series, co-hosted by Outset Capital and Imbue and sponsored by WndrCo. Join our upcoming events! Full list here: https://www.outsetcapital.com/thursday-nights-in-ai About Outset Capital: Outset Capital is led by Ali Rohde, Kanjun Qiu, and Josh Albrecht — AI practitioners investing in AI, deeptech, and the future of work. We back companies at the outset and love to be the first check in. About Imbue: Imbue is an AI research company aiming to rekindle the dream of the personal computer—by creating practical AI agents that can accomplish larger goals and safely work for us in the real world. They are hiring! https://imbue.com/careers About WndrCo: Founded in 2016 by Sujay Jaswa, Jeffrey Katzenberg, and ChenLi Wang, WndrCo builds & invests in companies whose products are revolutionizing how people live and work. WndrCo's investments include 1Password, Aura, Databricks, Figma, Material Security, and Pilot. About Chroma: Chroma is the AI native open-source embeddings database. Using embeddings, Chroma lets developers add state and memory to their AI-enabled applications. Developers use Chroma to give LLMs pluggable knowledge about their data, facts, tools, and prevent hallucinations. Many developers have said they want "ChatGPT but for my data" - and Chroma provides the "for my data" bridge through embedding-based document retrieval. Learn more about chroma: https://www.trychroma.com/blog/seed Learn more about Anton: https://twitter.com/atroyn Learn more about Jeff: https://twitter.com/jeffreyhuber 00:29 - How Chroma started 04:40 - Chat GPT's impact on Chroma 05:40 - How Chroma works 09:35 - Vector stores - when to use Chroma 14:20 - Serving Developers 20:40 - Programming AI with Data 25:00 - Reasoning models & other new products 28:12 - Specialized Data & Models 29:29 - Metadata filtering & Language Processing 31:15 - System retrieval evolution 34:31 - Consumer applications & devices 35:36 - Hardware 37:31 - Chroma feature requests 38:56 - Custom GPT 39:58 - Fine-tuning embedding models