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Generate Embeddings Using Ollama API

Source: R/api_ollama.R
ollama_embedding.Rd

Images (PNG, JPEG, GIF, WebP) and WAV or OGG audio need a multimodal embedding model such as "embeddinggemma-2:740m" and Ollama 0.40.4 or later. Ollama does not embed video or MP3.

Usage

ollama_embedding(
  .input,
  .model = "qwen3-embedding:0.6b",
  .truncate = TRUE,
  .ollama_server = "http://localhost:11434",
  .timeout = 120,
  .dry_run = FALSE,
  .task = NULL,
  .dimensions = NULL
)

Arguments

.input

A character vector of texts to embed, a list mixing texts with img() and audio_file() objects, or an LLMMessage object. A nested list is one fused item with at most one image and one audio file.

.model

The embedding model identifier (default: "all-minilm").

.truncate

Whether to truncate inputs to fit the model's context length (default: TRUE).

.ollama_server

The URL of the Ollama server to be used (default: "http://localhost:11434").

.timeout

Timeout for the API request in seconds (default: 120).

.dry_run

If TRUE, perform a dry run and return the request object.

.task

NULL (default), "query" or "document". Adds the EmbeddingGemma 2 task prefix to text; media get none.

.dimensions

Number of dimensions to return, for models that can shorten their vectors (default: the model's own size).

Value

A tibble with columns input (text, or a label such as [IMG] cat.jpg) and embeddings (list of numeric vectors).