Chroma, every mention

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where Chroma comes up

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▶ 36:36 Matt Turck disappeared or have accelerated dramatically in the last couple of years, uh, so the, you know, the pine cones and the quadrants and the chromas and the weviets, um, of, of the world, and I'm sure I'm, I'm forgetting LensDB, and, you know,…

▶ 31:11 Nancy Xu An example of this is there's the sort of pine cone, leviates chromas of the world that build vector DBs.

▶ 40:16 Richard Socher Uh, we've also been, uh, in the first seed stage round of trauma, uh, vector database. 2 times in the scene

▶ 6:58 Jerry Liu And these days, you know, there's a bunch of different vector databases from Pinecone to Chroma to WeVA to a bunch of others.

▶ 0:12 Matt Turck You are the CEO of, uh, Chroma. 2 times in the scene
▶ 0:41 Matt Turck What led you to start Chroma, and what were you doing before that? 4 times in the scene
▶ 2:25 Matt Turck Uh, what is Chroma first at a high level? 4 times in the scene
▶ 7:45 Matt Turck Okay, so you're an enterprise user, you got a bunch of like text content or audio or video, you fit it into those machine learning models, and then you store the results in vector format into Chroma.
▶ 8:45 Matt Turck So what does, uh, Chroma do today? 3 times in the scene
▶ 12:35 Jeff Huber We're working hard on it. 4 times in the scene
▶ 16:40 Matt Turck And talking about go to market a little bit, what are some of the early learnings and lessons in terms of the range of use cases that people use Chroma for?
▶ 20:34 Matt Turck So clearly you use Chroma, but what else do you need to have?
▶ 25:35 unnamed speaker Data, but when you're asking something else, maybe something of inference, maybe the, the risk is that hallucination or, like, what it, like, what's currently what you were thinking of that next step or what maybe Chrome has been. 2 times in the scene

▶ 5:41 George Sivulka Um, and a lot of the time, people didn't really just want a simple search index, uh, like a Chroma or Pinecone database or whatnot and, you know, some gender response over them.
▶ 23:23 George Sivulka So, you know, let's go back to Chroma and do a semantic search example. 2 times in the scene

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