floneum VS indexify

It is pretty good. I am working on an application that uses SVGs as a way to draw a workflow editor UI with Dioxus: https://github.com/floneum/floneum

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## What can you build with Kalosm?

Kalosm is designed to be a flexible and powerful tool for building AI into your applications. It is a great fit for any application that uses AI models to process sensitive information where local processing is important.

Here are a few examples of applications that are built with Kalosm:

- Floneum (https://floneum.com/): A local open source workflow editor and automation tool that uses Kalosm to provide natural language processing and other AI features.

This reminds me of Floneum (https://github.com/floneum/floneum), this open-sourced tool for graph-based workflows using local LLMs.

Kalosm is a meta-framework for AI written in Rust using candle. Kalosm supports local quantized large language models like Llama, Mistral, Phi-1.5, and Zephyr. It also supports other quantized models like Wuerstchen, Segment Anything, and Whisper. In addition to local models, Kalosm supports remote models like GPT-4 and ada embeddings.

1. I would love to support additional model runners including exLlama and API based models like chat GPT. I'm less familiar with how c transformers and GPTQ compare to llama.cpp. GPTQ used to run faster because it supported GPU acceleration, but now llama.cpp supports the GPU as well so that may have changed. Feel free to open a GitHub issue to discuss this: https://github.com/floneum/floneum/issues/new/choose

2. There are a few differences:

Around 2 weeks ago now, someone opened an issue on OasysDB to integrate it to his platform, Indexify, an open-source platform to extract and process various unstructured data from different sources for generative AI apps in real-time.

These hacks/side projects are amazing! I feel we will see a lot of creativity as tools to build data intensive AI applications become easier.

We built and open sourced Indexify https://github.com/tensorlakeai/indexify to make it easy to build resilient pipelines to combine data with many different models and transformations to build applications that relies on embedding or any other metadata extracted by models from Videos, Photos and any documents!

I didn’t know about SigClip, the author mentioned on the blog, need to add this to our library :) I also found it incredible that he generated the crawler with Claude! This is the type of boilerplate I hope we don’t have to write in the future

OP I sent you a message, not sure if you have seen it! I am working on an open source project in the retrieval space - https://github.com/diptanu/indexify I would love to chat more with you guys and hear what you are doing :)