embed_text: Generate Embeddings

In rollama: Communicate with 'Ollama' to Run Large Language Models Locally

Generate Embeddings

Description

Generate Embeddings

Usage

embed_text(
  text,
  model = NULL,
  server = NULL,
  truncate = NULL,
  dimensions = NULL,
  keep_alive = NULL,
  model_params = NULL,
  verbose = getOption("rollama_verbose", default = interactive())
)

Arguments

text	text vector to generate embeddings for.
model	which model to use. See https://ollama.com/library for options. Default is "llama3.1". Set option(rollama_model = "modelname") to change default for the current session. See pull_model for more details.
server	URL to one or several Ollama servers (not the API). Defaults to "http://localhost:11434".
truncate	whether to truncate the input to fit within the model's context length (TRUE/FALSE).
dimensions	the desired number of dimensions in the embedding output. Only available for models that support it.
keep_alive	controls how long the model is kept in memory after the request. Accepts a duration string such as "5m" or "1h", 0 to unload immediately, or -1 to keep the model loaded indefinitely.
model_params	a named list of additional model parameters listed in the documentation for the Modelfile.
verbose	Whether to print status messages to the Console (TRUE/FALSE). The default is to have status messages in interactive sessions. Can be changed with options(rollama_verbose = FALSE).

Value

a tibble with embeddings.

Examples

## Not run: 
embed_text(c(
  "Here is an article about llamas...",
  "R is a language and environment for statistical computing and graphics."))

## End(Not run)

rollama documentation built on Aug. 24, 2026, 9:08 a.m.