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Generate text with real-time information using Gemini (Retrieval)

Source: R/gemini_searchR.R
gemini_searchR.Rd

Generate text responses with simplified access to Gemini models

Usage

gemini_searchR(
  prompt,
  model = "1.5-flash",
  temperature = 1,
  maxOutputTokens = 8192,
  topK = 40,
  topP = 0.95,
  seed = 1234
)

Arguments

prompt

The prompt or question to ask

model

The model to use. Options are "1.5-flash", "1.5-pro". Default is '1.5-flash'. see https://ai.google.dev/gemini-api/docs/models/gemini

temperature

The temperature to use. Default is 1 value should be between 0 and 2 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

maxOutputTokens

The maximum number of tokens to generate. Default is 8192 and 100 tokens correspond to roughly 60-80 words.

topK

The top-k value to use. Default is 40 value should be between 0 and 100 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

topP

The top-p value to use. Default is 0.95 value should be between 0 and 1 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

seed

The seed to use. Default is 1234 value should be integer see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters

Value

Generated text response from the Gemini model

See also

https://ai.google.dev/docs/gemini_api_overview#text_input

Examples

if (FALSE) { # \dontrun{
library(gemini.R)
setAPI("YOUR_API_KEY")
gemini_searchR("Who won the latest F1 grand prix?")
} # }