I know how to store and query one custom vector:
with client.batch as batch:
properties = {"name": entity.name}
batch.add_data_object(
properties,
"test_class",
vector=embed(entity.name)
)
response = client.query.get(
"test_class",
["name"]
).with_near_vector(
{
"vector": embed(query),
"certainty": 0.7
}
) \
.with_limit(2) \
.do()
However, I need to store and query multiple custom vectors not just one. How can I achieve my goal?