• No servers required

Embeddings models configurations are stored and could be reused. For simplicity the term "embeddings models" will be used as a synonim for embeddings models configurations. Embeddings models could be for local models (run by llama-vscode) and for externally run servers. They have properties: name, local start command (llama-server command to start a server with this model locally), ai model (as required by the provider), endpoint, is key required

Embeddings models configurations could be added/deleted/viewed/selected/deselected/added from huggingface/exported/imported

Select "Embeddings models..." from llama-vscode menu

• Add local model
  Enter the requested properties.
  Name, local start command and endpoint are required.
  Use models, which support embeddings, for example Nomic-Embed-Text-V2-GGUF.

• Add external model
  Enter the requested properties.
  Name and endpoint are required.
  Use models, which support embeddings.

• Delete models
  Select the model you want to delete from the list and delete it.

• View
  Select a model from the list to view all the details for this model

• Selected
  Select a model from the list to select it. If the model is a local one (has a command in local start command) a llama.cpp server with this model will be started. Only one Embeddings model could be selected at a time.

• Deselect
  Deselect the currently selected model. If the model is local, the llama.cpp server will be started.

• Add model from huggingface
  Enter search words to find a model from huggingface. If the model is selected it will be automatically downloaded (if not yet done) and a llama.cpp server will be started with it.

• Export
  A model could be exported as a .json files. This file could be shared with others used, modified if needed and imported again. Select a model to export it.

• Import
  A model could be imported from a .json file - select a file to import it.