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Mapping FAQ

Frequently asked questions about Atlas maps.

Mapping Latency

Map creation latency once Nomic has received your embeddings.

Number of datums/embeddings Map availability latency (s)
10,000 instant
10,001 - 99,999 10-40
100,000 - 499,999 40-180
500,000 - 999,999 180-600
1,000,000 - 9,999,999 600+

Who can see my maps?

When you create a map, you can toggle it as private or public. Private maps are only accessible by authenticated individuals in your Nomic organization. Public maps are accessible by anyone with a link.
from nomic import atlas
import numpy as np

num_embeddings = 10000
embeddings = np.random.rand(num_embeddings, 256)

response = atlas.map_embeddings(embeddings=embeddings,

How do I login from the client?

You can login to your Atlas account from the python client by getting an API key. If you are logged into the Atlas dashboard in your web browser you can find it here. Either login in a command shell by running nomic login or in Python file with:

import nomic
nomic.login('Nomic API KEY')

Making maps under an organization

If you are added to a Nomic organization by someone (such as your employer), you can create projects under them by specifying an organization_name in the map_embedding method of the AtlasClient. By default, projects are made under your own account.

Working with Dates and Timestamps

Atlas will consider metadata as timestamps when they are passed as Python date or datetime objects. Under the hood, these are converted into timestamps compatible with the Apache Arrow standard. Remember, you can directly pass through pandas Dataframe objects and Arrow tables to the add_* endpoints.

How do I make maps of a dataset I have already uploaded?

You need to make a new index on the project you have uploaded your data to. See How does Atlas work? for details.

Disabling logging

Nomic utilizes the loguru module for logging. We recognize that logging can sometimes be annoying. You can disable or change the logging level by including the following snippet at the top of any script.

from loguru import logger
import sys
logger.add(sys.stderr, level="ERROR", filter='nomic')