Agree that's a lot of other projects out there, but why do you say the Vercel option is more advanced/mature?
The common trend we've seen is that most of these other projects are okay for a true "just send messages to an AI and get responses" use case, but for most things beyond that they fall short / there a lot of paper cuts.
For an individual, this might show up when they try more complex tasks that require multiple tool calls in sequence or when they have a research task to accomplish. For an org, this might show up when trying to manage access to assistants / tools / connected sources.
Our goal is to make sure Onyx is the most advanced and mature option out there. I think we've accomplished that, so if there's anything missing I'd love to hear about it.
Alright let's say im tasked with building a fancy AI-powered research assistant and I need onyx or Vercel's ai-chatbot sdk. Why would I reach for onyx?
I have used vercel for several projects and I'm not tied to it, but would like to understand how onyx is comparable.
Benefits for my use cases for using vercel have been ease of installation, streaming support, model agnosticity, chat persistence and blob support. I definitely don't like the vendor lock in, though.
I wasn't trying to be a hater, i think it is great they got funded for this. It just felt like there are so many free options and alternatives out there that are addressing basically the same things (and look almost exactly the same) it genuinely surprised me.
there's a million other project just like this one, many that are much more advanced and mature, including from Vercel. There's no moat.
Agree that's a lot of other projects out there, but why do you say the Vercel option is more advanced/mature?
The common trend we've seen is that most of these other projects are okay for a true "just send messages to an AI and get responses" use case, but for most things beyond that they fall short / there a lot of paper cuts.
For an individual, this might show up when they try more complex tasks that require multiple tool calls in sequence or when they have a research task to accomplish. For an org, this might show up when trying to manage access to assistants / tools / connected sources.
Our goal is to make sure Onyx is the most advanced and mature option out there. I think we've accomplished that, so if there's anything missing I'd love to hear about it.
Alright let's say im tasked with building a fancy AI-powered research assistant and I need onyx or Vercel's ai-chatbot sdk. Why would I reach for onyx?
I have used vercel for several projects and I'm not tied to it, but would like to understand how onyx is comparable.
Benefits for my use cases for using vercel have been ease of installation, streaming support, model agnosticity, chat persistence and blob support. I definitely don't like the vendor lock in, though.
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I wasn't trying to be a hater, i think it is great they got funded for this. It just felt like there are so many free options and alternatives out there that are addressing basically the same things (and look almost exactly the same) it genuinely surprised me.