embeddings: Generate embeddings for a single prompt - deprecated in favor...

In ollamar: 'Ollama' Language Models

Generate embeddings for a single prompt - deprecated in favor of embed()

Description

This function will be deprecated over time and has been superceded by embed(). See embed() for more details.

Usage

embeddings(
  model,
  prompt,
  normalize = TRUE,
  keep_alive = "5m",
  endpoint = "/api/embeddings",
  host = NULL,
  ...
)

Arguments

model	A character string of the model name such as "llama3".
prompt	A character string of the prompt that you want to get the vector embedding for.
normalize	Normalize the vector to length 1. Default is TRUE.
keep_alive	The time to keep the connection alive. Default is "5m" (5 minutes).
endpoint	The endpoint to get the vector embedding. Default is "/api/embeddings".
host	The base URL to use. Default is NULL, which uses Ollama's default base URL.
...	Additional options to pass to the model.

Value

A numeric vector of the embedding.

References

API documentation

Examples

embeddings("nomic-embed-text:latest", "The quick brown fox jumps over the lazy dog.")
# pass model options to the model
embeddings("nomic-embed-text:latest", "Hello!", temperature = 0.1, num_predict = 3)

ollamar documentation built on April 3, 2025, 8:31 p.m.