Haystack, every mention
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every year anyone Milos Rusic 15Matt Turck 9
Verbatim, from the transcripts: the passages where Haystack comes up
From NLP Start-Up to Generative-AI Platform: Milos Rusic (deepset) Unpacks Product-Market Fit
- ▶ 5:07 Milos Rusic And this is how we came up with Haystack, because Haystack was, um, we understood that, look, there is somehow always a set of components you need, which is not just a model, but it's also like, for example, a database where you store 7 times in the scene
- ▶ 9:46 Matt Turck So we're going to start with Haystack, the open source, uh, project as described, uh, which is a very popular, um, open source project with, uh, 10, uh, .4000 stars for people who care about the things and a 186 contributors. 5 times in the scene
- ▶ 14:21 Milos Rusic Um, of course, the OpenAI models, um, which are in particular, very well performing for, um, all generative use cases, uh, but we see, uh, the Hugging Face models, um, from the Hugging Face Hub, um, the full hub is supported, um, are still… 3 times in the scene
- ▶ 16:16 Matt Turck So that's Haystack. 2 times in the scene
- ▶ 29:50 Milos Rusic And this is, you know, where it makes sense to also say, Hey, these things don't have to be open source because in the end, not everyone who wants to succeed with haste will require this, uh, um, but in the end, everything that you need to…
- ▶ 31:01 Milos Rusic Look, uh, even while being in consulting, um, even then afterwards, when we launched, uh, Haystack, um, we see, we see, um, we see strong adoption really like from, from enterprises, um, from large companies. 3 times in the scene
- ▶ 33:42 Matt Turck I saw, um, Airbus for Haystack, uh, and then I saw, uh, months. 2 times in the scene
- ▶ 44:13 Milos Rusic I'm also on Twitter, um, and, uh, Haystack is on GitHub.