Get pretrained text embeddings — get

Get pretrained text embeddings from the OpenAI or Mistral API. Automatically batches requests to handle rate limits.

Usage

get_embeddings(
  text,
  model = "text-embedding-3-large",
  dimensions = 256,
  openai_api_key = Sys.getenv("OPENAI_API_KEY"),
  parallel = TRUE
)

Arguments

text: A character vector
model: Which embedding model to use. Defaults to 'text-embedding-3-large'.
dimensions: The dimension of the embedding vectors to return. Defaults to 256. Note that the 'mistral-embed' model will always return 1024 vectors.
openai_api_key: Your OpenAI API key. By default, looks for a system environment variable called "OPENAI_API_KEY" (recommended option). Otherwise, it will prompt you to enter the API key as an argument.
parallel: TRUE to submit API requests in parallel. Setting to FALSE can reduce rate limit errors at the expense of longer runtime.

Value

A matrix of embedding vectors (one per row).

Examples

embeddings <- get_embeddings(c('dog', 'cat', 'canine', 'feline'))
embeddings['dog',] |> dot(embeddings['canine',])
#> [1] 0.5828258
embeddings['dog',] |> dot(embeddings['feline',])
#> [1] 0.4447465