azure_openai_embedding: Generate Embeddings Using OpenAI API on Azure

In tidyllm: Tidy Integration of Large Language Models

Generate Embeddings Using OpenAI API on Azure

Description

Generate Embeddings Using OpenAI API on Azure

Usage

azure_openai_embedding(
  .input,
  .deployment = "text-embedding-3-small",
  .endpoint_url = Sys.getenv("AZURE_ENDPOINT_URL"),
  .api_version = "2023-05-15",
  .truncate = TRUE,
  .timeout = 120,
  .dry_run = FALSE,
  .max_tries = 3
)

Arguments

.input	A character vector of texts to embed or an LLMMesssageobject
.deployment	The embedding model identifier (default: "text-embedding-3-small").
.endpoint_url	Base URL for the API (default: Sys.getenv("AZURE_ENDPOINT_URL")).
.api_version	What API-Version othe Azure OpenAI API should be used (default: "2023-05-15")
.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).

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.