Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 5 additions & 5 deletions docs/cli.md
Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,7 @@ uv tool install vectorcode --index https://download.pytorch.org/whl/cpu --index-
If you need to install multiple dependency group (for [LSP](#lsp-mode) or
[MCP](#mcp-server)), you can use the following syntax:
```bash
uv tool install vectorcode[lsp,mcp]
uv tool install 'vectorcode[lsp,mcp]'
```
> [!NOTE]
> The command only install VectorCode and `SentenceTransformer`, the default
Expand Down Expand Up @@ -113,7 +113,7 @@ tracks my progress trying to provide better experiences for windows users.

If your environment doesn't support `numpy` version 2.0+, the default,
unconstrained numpy may not work for you. In this case, you can
try installing the package by `uv tool install vectorcode[legacy]`, which enforces
try installing the package by `uv tool install 'vectorcode[legacy]'`, which enforces
numpy `v1.x`. If this doesn't help, please open an issue with your OS, CPU
architecture, python version and the vectorcode virtual environment
(`uv tool run --from=vectorcode python -m ensurepip && uv tool run --from=vectorcode python -m pip freeze`).
Expand Down Expand Up @@ -570,7 +570,7 @@ following options in the JSON config file:

For Intel users, [sentence transformer](https://www.sbert.net/index.html)
supports [OpenVINO](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html)
backend for supported GPU. Run `uv install vectorcode[intel]` which will
backend for supported GPU. Run `uv install 'vectorcode[intel]'` which will
bundle the relevant libraries when you install VectorCode. After that, you will
need to configure `SentenceTransformer` to use `openvino` backend. In your
`config.json`, set `backend` key in `embedding_params` to `"openvino"`:
Expand Down Expand Up @@ -685,11 +685,11 @@ loading the models.
The experimental language server can be installed via the `lsp` dependency
group:
```bash
pipx install vectorcode[lsp]
pipx install 'vectorcode[lsp]'

## or if you have an existing `vectorcode` install:

pipx inject vectorcode vectorcode[lsp] --force
pipx inject vectorcode 'vectorcode[lsp]' --force
```

The LSP request for the `workspace/executeCommand` is defined as follows:
Expand Down
Loading