v5
latestOpenAPI 3.1.02026-08-025631,1012.8 MBGet a document by ID.
Get a document by ID.
Path parameters
The ID of the collection.
The ID of the collection.
The ID of the document to retrieve.
The ID of the document to retrieve.
Query parameters
Generate fresh presigned download URLs for all blobs with S3 storage
Generate fresh presigned download URLs for all blobs with S3 storage
Include a '_vectors' field listing available vector names for this document (without actual embedding data)
Include a '_vectors' field listing available vector names for this document (without actual embedding data)
Comma-separated fields to resolve inline under an 'expanded' key. Reserved lineage keywords: 'parent' (immediate upstream document), 'root_object' (originating bucket object), 'ancestors' (full chain root → parent), 'children' (direct downstream documents, max 100). Any other value is treated as a user field path containing doc* references (supports dot-notation, e.g. 'items.product_id'). Max 50 unique references for non-lineage fields. Depth is limited to 1 (no recursive expansion).
Comma-separated fields to resolve inline under an 'expanded' key. Reserved lineage keywords: 'parent' (immediate upstream document), 'root_object' (originating bucket object), 'ancestors' (full chain root → parent), 'children' (direct downstream documents, max 100). Any other value is treated as a user field path containing doc* references (supports dot-notation, e.g. 'items.product_id'). Max 50 unique references for non-lineage fields. Depth is limited to 1 (no recursive expansion).
Response
Successful Response
Example response
{
"_internal": {
"collection_id": "col_articles",
"created_at": "2025-10-31T10:00:00Z",
"document_id": "doc_f8966ff29c18e20c6b45e053",
"internal_id": "org_abc123",
"lineage": {
"chain": [
{
"collection_id": "col_articles",
"feature_extractor_id": "text_extractor_v1",
"timestamp": "2025-10-31T10:00:00Z"
}
],
"path": "bkt_content/col_articles",
"root_bucket_id": "bkt_content",
"root_object_id": "obj_article_001",
"source_object_id": "obj_article_001",
"source_type": "bucket"
},
"metadata": {
"ingestion_status": "COMPLETED"
},
"modality": "text",
"namespace_id": "ns_xyz789",
"source_blobs": [
{
"blob_id": "blob_text_001",
"blob_property": "content",
"blob_type": "text"
}
],
"updated_at": "2025-10-31T10:00:00Z"
},
"author": "Dr. Smith",
"collection_id": "col_articles",
"description": "Text document with _internal structure",
"document_id": "doc_f8966ff29c18e20c6b45e053",
"title": "AI in Healthcare"
}