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POST
/
v1
/
knowledge-base
/
{document_id}
/
rag-index
Compute Rag Index Endpoint
curl --request POST \
  --url https://api.example.com/v1/knowledge-base/{document_id}/rag-index
{
  "id": "<string>",
  "status": "created",
  "progress_percentage": 50,
  "document_model_index_usage": {
    "used_bytes": 1
  },
  "model": "gemini-embedding-001"
}

Headers

​
x-api-key
string | null

API key for authentication

Path Parameters

​
document_id
string
required

Response

Successful Response

Response model for RAG indexing status (ElevenLabs-style)

​
id
string
required
​
status
enum<string>
required
Available options:
created,
processing,
succeeded,
failed
​
progress_percentage
number
required
Required range: 0 <= x <= 100
​
document_model_index_usage
DocumentModelIndexUsage · object
required

Model index usage (bytes used for embeddings)

​
model
string
default:gemini-embedding-001
Allowed value: "gemini-embedding-001"