Example Calls
Upsert
Methods
The upsert method enables you to insert or update vectors in the index.
You can perform upsert operations in three ways: using a vector object, a tuple, or a dictionary.
Upsert Via Vector Object
import random
from upstash_vector import Index, Vector
index = Index.from_env()
dimension = 128 # Adjust based on your index's dimension
upsert_amount = 100
vectors = [
Vector(
id=f"generated-id-{i}",
vector=[random.random() for _ in range(dimension)],
metadata={"some_field": f"some_value-{i}"},
data=f"some-unstructured-data-{i}",
)
for i in range(upsert_amount)
]
index.upsert(vectors=vectors)
Upsert Via Tuple
import random
from upstash_vector import Index
index = Index.from_env()
dimension = 128 # Adjust based on your index's dimension
upsert_amount = 100
vectors = [
(
f"generated-id-{i}",
[random.random() for _ in range(dimension)],
{"some_field": f"some_value-{i}"},
f"some-unstructured-data-{i}",
)
for i in range(upsert_amount)
]
index.upsert(vectors=vectors)
Upsert Via Dictionary
import random
from upstash_vector import Index
index = Index.from_env()
dimension = 128 # Adjust based on your index's dimension
upsert_amount = 100
vectors = [
{
"id": f"generated-id-{i}",
"vector": [random.random() for _ in range(dimension)],
"metadata": {"some_field": f"some_value-{i}"},
"data": f"some-unstructured-data-{i}",
}
for i in range(upsert_amount)
]
index.upsert(vectors=vectors)
Also, you can specify a namespace to operate on. When no namespace is provided, the default namespace will be used.
index.upsert(..., namespace="ns")