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Earlier quoted context omitted.
You don't need any subscription to run the code! By default, none of the enterprise code runs (and it can all be completely removed and the app will work as expected). Fully FOSS version here: https://github.com/onyx-dot-app/onyx-foss .
that's fair. What does the enterprise code do vs the FOSS?
why use a name, although spelled differently onyx vs onnx, that's already used and known in the ML/AI community?
> but I’m going to start by connecting GPT-4o, Claude Sonnet 4, and Qwen to provide my team with a secure way to use them
I did get a little giggle out of that because I've never heard anyone say that hooking up 3rd party llms to anything was any way secure.
Interesting product and best of luck with it. > but I’m going to start by connecting GPT-4o, Claude Sonnet 4, and Qwen to provide my team with a secure way to use them I did get a little giggle out of that because I've never heard anyone say that hooking up 3rd party llms to anything was any way secure.
The key point there is that many would do it through Azure / Bedrock + locally host the open-source models. Also, all chats / indexed data lives on-prem, and there are better guarantees around retention when using the APIs directly.
Earlier quoted context omitted.
You don't need any subscription to run the code! By default, none of the enterprise code runs (and it can all be completely removed and the app will work as expected). Fully FOSS version here: https://github.com/onyx-dot-app/onyx-foss .
that's fair. What does the enterprise code do vs the FOSS?
In the enterprise:
- permission syncing
- UI-based white labeling
- Advanced RBAC
- Usage analytics UI
Aren't most of the large frontier model providers SOC 2 compliant? I think AWS Bedrock is also SOC 2 compliant. Not sure why you would need to self host anything then as you'll get turnkey secure solutions from the bigger plays
One of our largest users has forked the repo and has 20+ commits back to the repo of small customizations that are important for them (and that they could never get with ChatGPT Enterprise).
Lots of companies we talk to value having the best model for the job (e.g. not being tied to ONLY OpenAI models for example).
Compared to model provider offerings, we also (thanks to open-source contributions) cover many more existing apps when it comes to connectors.
Do you let organizations white-label it so its more customized (i.e. remove the Onyx branding, preload it with their internal MCP servers / docs) and feels like their own internal chat tool?
In our opinion, it's a bit silly to build completely in house when you can take something like Onyx as the starting point and be >95% of the way there + have a tons of bells and whistles built in.
> We’re building an open-source chat that works As long as you have Pricing on your website your product is not open source in the true spirit of open sourceness. It is open code for sure but it is a business and so incentive is to run it like a business which will conflate with how the project is used by the community. Btw, there is nothing wrong with that but let's be honest here if you get this funded (perhaps it…
> As long as you have Pricing on your website your product is not open source in the true spirit of open sourceness. It's an MIT license. That IS open source. If they have a commercial strategy - that's a GoodThing. It means they have a viable strategy for staying in business, and keeping the project maintained. MIT == OpenSource. Pricing == Sustainable. That's a horse worth backing IMO.