Delete Vector Index

Delete an existing vector similarity search index.

This endpoint removes the specified index from the database. Important considerations:

Deletion is permanent and cannot be undone
Underlying vector data remains intact
Queries will fall back to sequential scan
Running queries during deletion may be slower
Use run_with_orchestration=True for large indices to prevent timeouts
Consider index dependencies before deletion

The operation returns immediately but cleanup may continue in background.

Delete an existing vector similarity search index. This endpoint removes the specified index from the database. Important considerations: - Deletion is permanent and cannot be undone - Underlying vector data remains intact - Queries will fall back to sequential scan - Running queries during deletion may be slower - Use run_with_orchestration=True for large indices to prevent timeouts - Consider index dependencies before deletion The operation returns immediately but cleanup may continue in background.

Path parameters

table_nameenumRequired

The table of vector embeddings to delete (e.g. vectors, entity, document_collections)

Allowed values:

index_namestringRequired

The name of the index to delete

Response

Successful Response

resultsobject

1	from r2r import R2RClient
2
3	client = R2RClient()
4
5	# Delete an index with orchestration for cleanup
6	result = client.indices.delete(
7	index_name="index_1",
8	table_name="vectors",
9	run_with_orchestration=True
10	)

Path parameters

Headers

Response

Errors