gemini_docs.vertex: Summarize or analyze documents using Vertex AI Gemini

In gemini.R: Interface for 'Google Gemini' API

Summarize or analyze documents using Vertex AI Gemini

Description

Summarize, compare, or analyze the content of one or more documents (PDF, TXT, HTML, etc.) using Vertex AI Gemini.

Usage

gemini_docs.vertex(
  file_uri,
  prompt,
  mime_type = "application/pdf",
  tokens = NULL,
  temperature = 1,
  maxOutputTokens = 8192,
  topK = 40,
  topP = 0.95,
  seed = 1234
)

Arguments

file_uri	The URI(s) or URL(s) of the file(s) to include in the prompt. Accepts Cloud Storage URI (gs://...), HTTP(S) URL, or YouTube video URL.
prompt	The text instructions to include in the prompt.
mime_type	The media type of the file (e.g., "application/pdf", "text/plain").
tokens	A list containing the API URL and key from token.vertex() function.
temperature	The temperature to use. Default is 1.
maxOutputTokens	The maximum number of tokens to generate. Default is 8192.
topK	The top-k value to use. Default is 40.
topP	The top-p value to use. Default is 0.95.
seed	The seed to use. Default is 1234.

Value

The summary or response text from Gemini Vertex.

See Also

https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/send-request-document

Examples

## Not run: 
tokens <- token.vertex()
gemini_docs.vertex(
  file_uri = "gs://cloud-samples-data/generative-ai/pdf/2403.05530.pdf",
  prompt = "Summarize this document.",
  mime_type = "application/pdf",
  tokens = tokens
)

## End(Not run)

gemini.R documentation built on June 20, 2025, 5:07 p.m.