openai_embedding: Generate Embeddings Using OpenAI API
In tidyllm: Tidy Integration of Large Language Models

openai_embedding

R Documentation

Generate Embeddings Using OpenAI API

Description

Generate Embeddings Using OpenAI API

Usage

openai_embedding(
  .input,
  .model = "text-embedding-3-small",
  .truncate = TRUE,
  .timeout = 120,
  .dry_run = FALSE,
  .max_tries = 3,
  .verbose = FALSE
)

Arguments

`.input`	An existing LLMMessage object (or a character vector of texts to embed)
`.model`	The embedding model identifier (default: "text-embedding-3-small").
`.truncate`	Whether to truncate inputs to fit the model's context length (default: TRUE).
`.timeout`	Timeout for the API request in seconds (default: 120).
`.dry_run`	If TRUE, perform a dry run and return the request object.
`.max_tries`	Maximum retry attempts for requests (default: 3).
`.verbose`	Should information about current ratelimits be printed? (default: FALSE)

Value

A tibble with two columns: input and embeddings. The input column contains the texts sent to embed, and the embeddings column is a list column where each row contains an embedding vector of the sent input.

tidyllm documentation built on Aug. 22, 2025, 5:21 p.m.