Add parsed files to a vector store for indexing and search.
This endpoint initiates an asynchronous process to add files to a vector store:
Authentication:
Process:
Returns:
Example Request:
{
"parse_result_ids": ["parse_123", "parse_456"],
"credentials": {
"sgp": {
"api_key": "your-api-key",
"account_id": "your-account-id"
}
}
}
Example Response:
{
"id": "job_123456789",
"operation": "VECTOR_STORE",
"status": "PENDING",
"parameters": {
"parse_result_ids": ["parse_123", "parse_456"]
},
"source_id": null,
"project_id": "proj_987654321",
"created_at": "2024-01-15T10:30:00Z",
"updated_at": "2024-01-15T10:30:00Z"
}
Documentation Index
Fetch the complete documentation index at: https://docs.gp.scale.com/llms.txt
Use this file to discover all available pages before exploring further.
API key for authentication
Selected Account ID
IDs of the parse results
Files added to vector store successfully. Job entity returned for tracking progress.
Job response model representing an asynchronous operation.
ID of the entity
ID of the project
Operation type (e.g., 'parse')
parse, batch_parse, extract, research, vector_store, chunk, summarization, create_index, update_index Current job status
pending, running, succeeded, partially_succeeded, failed, cancelled When the job was created
"job"Source document/file ID
Request correlation ID for tracing
When the job started processing
When the job completed
Job result payload when completed
Live progress payload (used by batch jobs)
Error message if job failed
Timeline of job execution events