While your aims are undoutably sincere, in practice for the 'local ai' target people building their own rigs usually have. 4TB or more fast ssd storage.

The bottom tier (not meant disparagingly) are people running diffusion models as these do not have the high vram requirements. They generate tons of images or video, going form a one-click instally like Easydiffusion to very sophisticated workflows in comfyui.

For those going the LLM route, which would be your target audience, they quickly run into the problemm that to go beyond toying around, the hardware and software requirements and expertise grows exponential beyong just toying around with small, highly quantized model with small context windows.

Inlight of the typical enthusiast investments in this space, the few TB of fast storage will pale in comparison to the rest of the expenses.

Again, your work is absolutely valuable, it is just that the storage space requirement for the vector store in this particular scenario is not your strongest card to play.