Here you find the vector data that you would need if you like to play with my latest baby.It is called Prompt Quill and it will help you make nice prompts more easy. Its not just a dull Prompt helper you might know, it is the world's first RAG workflow feeded with more than 4.9 Million Prompts I did take from Civitai and other sources with their permission.The data is now prepared to deliver negative prompts as well as models that might work well with the generated prompt. Also there is a one click installer to all versions, also all versions now support image generation with the created prompts, so its really getting time you start trying it =)Find the sources you need here: <a target="_blank" rel="ugc" href="https://github.com/osi1880vr/prompt_quill">https://github.com/osi1880vr/prompt_quill</a>If you like it please leave a thumbs up =)You like to contribute, just raise an PR on github.There is new features, it now allows for a deep dive into the context aka found prompts from the vector store, you can run batches of prompt generation and you can enter your prompt in your native language, it will then get translated into english and processed from there, the translated prompt will also be shown in the output so you can have an idea what it translated to.You like to get in contact PM me here or find me on discord: <a target="_blank" rel="ugc" href="https://discord.gg/Krn9UutdGH">https://discord.gg/Krn9UutdGH</a>One last thing, I'm very interested to get this thing to life on some server, if you interested in sponsoring a long term hosting solution please lets talk :)

Prompt Quill Vector Data

This is the data to be used for the llmware version of prompt quill. It has two parts as by how llmware is designed, one part is the mongodb data and the other parts is the qdrant verctor data.

Files with SHA256: 930285d7eb30a18b6a41486b409b8ce9c5e3c1c2d19fded5b32d4f0f36a5b191