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