The intro says the product is “AI-native”, but I couldn’t find any details about this in the docs. What does it mean?
artahian 2 hours ago [-]
If you check our landing page, we have a section where we explain that a bit: https://modelence.com
One of the AI-native aspects is if you use the built-in AI SDK (https://github.com/modelence/modelence/tree/main/packages/ai), you get all your AI prompt runs in the built-in dashboard in Modelence Cloud and you can also connect your AI provider (e.g. OpenAI) in the dashboard without having to manually specify the key in the code or pass through environment variables.
But there's more we adding soon - vector search and embeddings that are built into your database / MongoDB documents.
seper8 4 hours ago [-]
Looks cool, good luck with the launch!
A well designed login component to go along with this might do wonders for the adoption.
Probably need to add screenshots also, but our own platform at https://cloud.modelence.com uses these built-in auth UI from Modelence and a lot of other things it is bootstrapped with.
WolfOliver 3 hours ago [-]
looking at the examples, it looks more like a Rails alternative?
artahian 3 hours ago [-]
Rails for Ruby is similar with the simplicity and structure (same idea here for TypeScript), but Modelence is more cloud-first focused and less of a pure framework.
dangoodmanUT 3 hours ago [-]
Does this have a live layer? Would be a miss if not
artahian 3 hours ago [-]
Do you mean real-time data / live sync? It is actually the next thing we're going to release, so yes - it is definitely a core part. We took our inspiration from https://meteor.com and it had a big emphasis on live data which we're going to support in a more scalable way.
One of the AI-native aspects is if you use the built-in AI SDK (https://github.com/modelence/modelence/tree/main/packages/ai), you get all your AI prompt runs in the built-in dashboard in Modelence Cloud and you can also connect your AI provider (e.g. OpenAI) in the dashboard without having to manually specify the key in the code or pass through environment variables.
But there's more we adding soon - vector search and embeddings that are built into your database / MongoDB documents.
A well designed login component to go along with this might do wonders for the adoption.
Probably need to add screenshots also, but our own platform at https://cloud.modelence.com uses these built-in auth UI from Modelence and a lot of other things it is bootstrapped with.