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Examples
API Request
TypeScript
Python (Sync)
curl --request POST \
--url https://api.usecortex.ai/embeddings/retrieve_by_ids \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"chunk_ids": [],
"tenant_id": "tenant_1234",
"sub_tenant_id": "sub_tenant_4567"
}'
Retrieve embedding vectors for specific chunk IDs that you previously obtained from uploading embeddings or searching.
Requirements
- chunk_ids: Array of valid chunk ID strings (cannot be empty)
- tenant_id: Required for multi-tenancy support
- sub_tenant_id: Optional, defaults to tenant_id if not provided
Response Details
- embeddings: Dictionary mapping chunk IDs to their embedding vectors
- not_found_chunk_ids: Array of chunk IDs that were not found in the system
Sample Response
{
"embeddings": {
"CortexEmbeddings123_0": [
21.0,
22.0,
23.0,
24.0,
25.0,
26.0
],
"CortexEmbeddings123_1": [
20.100000381469727,
20.200000762939453,
20.299999237060547,
20.399999618530273,
20.5,
20.600000381469727
],
"CortexEmbeddings456_0": [
1.5,
2.5,
8.5,
8.5,
8.5,
6.5
]
},
"not_found_chunk_ids": [
"CortexEmbeddings789_2"
]
}
Error Responses
All endpoints return consistent error responses following the standard format. For detailed error information, see our Error Responses documentation.message
string
default:Embeddings retrieved successfully