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This documentation covers msty app v1.x, the original version of msty Processing settings chunk settings interface Rag (retrieval augmented generation) is the technology that powers knowledge stacks in msty
Msty supports a wide range of gpus for faster inference Go to msty studio docs → learn more about msty studio at msty.ai → learn how to optimize your knowledge stack's search accuracy and processing with these advanced settings Check if your gpu is supported by msty.
Knowledge stack basics get started with knowledge stacks in msty looking for msty studio
If you're looking for the msty studio documentation instead, you can find it here Msty lets you download a wide variety of models to use offline with local ai You can choose to install any model from ollama or import supported gguf model files from huggingface, directly within msty. Msty supports amd rocm on windows out of the box and we even have a dedicated installer for it
However, sometimes things can go wrong and your gpu card might not be supported or detected at all. Any model you have in msty can be used by changing the model names in the config Msty makes it easy to make your local ai service available on your network You can enable network access to your local ai service by following these simple steps:
You can easily toggle this feature on or off as needed.
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