Gemini.Types.Request.EmbedContentBatch (GeminiEx v0.8.4)
View SourceAsync batch embedding job request.
Submit a large batch of embedding requests for asynchronous processing at 50% cost compared to interactive API.
Fields
model: Model to use (e.g., "models/gemini-embedding-001")name: Output only - assigned by API (format: "batches/{batchId}")display_name: Human-readable batch name (required)input_config: Input configuration (file or inline requests)priority: Processing priority (default 0, higher = more urgent)
Examples
# Create batch with inline requests
EmbedContentBatch.new(
"models/gemini-embedding-001",
input_config,
display_name: "Knowledge Base Embeddings"
)
# With priority
EmbedContentBatch.new(
"models/gemini-embedding-001",
input_config,
display_name: "Urgent Batch",
priority: 10
)
Summary
Functions
Creates a new async batch embedding request.
Converts the batch request to API-compatible map format.
Types
@type t() :: %Gemini.Types.Request.EmbedContentBatch{ display_name: String.t(), input_config: Gemini.Types.Request.InputEmbedContentConfig.t(), model: String.t(), name: String.t() | nil, priority: integer() | nil }
Functions
@spec new(String.t(), Gemini.Types.Request.InputEmbedContentConfig.t(), keyword()) :: t()
Creates a new async batch embedding request.
Parameters
model: Model to use (e.g., "gemini-embedding-001" or full path)input_config: Input configuration (file or inline)opts: Optional keyword list:display_name: Human-readable name (required):priority: Processing priority (default: 0):name: Batch identifier (output only, set by API)
Examples
EmbedContentBatch.new(
"gemini-embedding-001",
input_config,
display_name: "My Batch"
)
Converts the batch request to API-compatible map format.
The API expects all fields to be wrapped in a batch object.