EdgeChains VS modelfusion

We build a WASM compiler to compile our prompts and chains into webassembly. Honojs was a critical part of it.

https://github.com/arakoodev/EdgeChains/

EdgeChains: github.com/arakoodev/EdgeChains

would love your thoughts on this as well - https://github.com/arakoodev/edgechains

got frustrated in the same way with "Black Box Prompting - every library hides prompts/chains in layers of libraries...while it should have been declarative.

EdgeChains - allows u to specify ur prompt and chain in jsonnet. This why i think Generative AI needs declarative orchestration and not previous generations. https://github.com/arakoodev/edgechains#why-do-you-need-decl...

when will you have pgvector as a destination ? we (https://github.com/arakoodev/edgechains) work with a lot of enterprises and they would not move away from using redis or pgvector even as their vector store. Is there a way where we can leverage that ?

Second, for a LOT of enterprises, they want to use non-openai embedding models (minilm, GTE, BGE), will you support that. For e.g. in Edgechains we natively support BGE and minilm. Would you be able to support that ?

oh really ? Thats awfully kind. I'll take that in for EdgeChains as well.

https://github.com/arakoodev/EdgeChains/issues/172

Promptfile is written in markdown, which is unsuited for templates and config management.

I have an attempt in the same domain, would love feedback

We didnt invent a new markup - we used jsonnet which is used in large scale kubernetes and has a grammar that has been well tested for config mgmt.

https://github.com/arakoodev/EdgeChains/blob/main/Examples/r...

Prompts live outside the code.

ModelFusion is an AI integration library that I am developing. It enables you to integrate AI models into your JavaScript and TypeScript applications. You can install it with the following command:

ModelFusion is an open-source library I'm developing to integrate AI models seamlessly into TypeScript projects. It provides an Ollama client and a generateStructure function.

ModelFusion: ModelFusion is a library for building multi-modal AI applications that I've been working on. It provides a streamText function that calls AI models and returns a streaming response. ModelFusion also contains an Ollama integration that we will use to access the OpenHermes 2.5 Mistral model.

You can find the complete code for the chatbot here: github/com/lgrammel/modelfusion/examples/pdf-chat-terminal

I’m working on ModelFusion, a TypeScript library for working with AI models (llm, image, etc.)

https://github.com/lgrammel/modelfusion

It is only getting limited traction so I’m wondering if I’m missing something fundamental with the approach that I’m taking.

If you work with JS or TS, check out this alternative that I've been working on:

https://github.com/lgrammel/modelfusion

It lets you stay in full control over the prompts and control flow while make a lot of things easier and more convenient.

The response also contains additional information such as the metadata and the full response. The ModelFusion documentation contains many examples and demo apps.