batch_create_embeddings
Create batch embedding generation jobs for large-scale AI tasks at reduced cost. Process multiple text inputs simultaneously for semantic similarity, classification, clustering, and retrieval applications using Google's Gemini embedding model.
Instructions
CREATE EMBEDDINGS BATCH JOB - Create async embeddings generation batch job. COST: 50% cheaper than standard API. MODEL: gemini-embedding-001 (1536 dimensions). WORKFLOW: 1) Prepare content (use batch_ingest_embeddings for conversion), 2) Select task type (use batch_query_task_type if unsure), 3) Upload file, 4) Call batch_create_embeddings, 5) Monitor with batch_get_status, 6) Download with batch_download_results. TASK TYPES: See batch_query_task_type for descriptions and recommendations.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| model | No | Embedding model | gemini-embedding-001 |
| requests | No | Inline embedding requests (for small batches) | |
| inputFileUri | No | URI of uploaded JSONL file with embedding requests | |
| taskType | Yes | Embedding task type (affects model optimization). Use batch_query_task_type for guidance. | |
| displayName | No | Optional display name for the batch job | |
| outputLocation | No | Output directory for results |
Input Schema (JSON Schema)
{
"properties": {
"displayName": {
"description": "Optional display name for the batch job",
"type": "string"
},
"inputFileUri": {
"description": "URI of uploaded JSONL file with embedding requests",
"type": "string"
},
"model": {
"default": "gemini-embedding-001",
"description": "Embedding model",
"enum": [
"gemini-embedding-001"
],
"type": "string"
},
"outputLocation": {
"description": "Output directory for results",
"type": "string"
},
"requests": {
"description": "Inline embedding requests (for small batches)",
"type": "array"
},
"taskType": {
"description": "Embedding task type (affects model optimization). Use batch_query_task_type for guidance.",
"enum": [
"SEMANTIC_SIMILARITY",
"CLASSIFICATION",
"CLUSTERING",
"RETRIEVAL_DOCUMENT",
"RETRIEVAL_QUERY",
"CODE_RETRIEVAL_QUERY",
"QUESTION_ANSWERING",
"FACT_VERIFICATION"
],
"type": "string"
}
},
"required": [
"taskType"
],
"type": "object"
}