> ## Documentation Index
> Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Atlas

> [Atlas](https://docs.nomic.ai/index.html) is a platform by Nomic made for interacting with both small and internet scale unstructured datasets. It enables anyone to visualize, search, and share massive datasets in their browser.

You'll need to install `langchain-community` with `pip install -qU langchain-community` to use this integration

This notebook shows you how to use functionality related to the `AtlasDB` vectorstore.

```python theme={null}
%pip install -qU  spacy
```

```python theme={null}
!python3 -m spacy download en_core_web_sm
```

```python theme={null}
%pip install -qU  nomic
```

### Load Packages

```python theme={null}
import time

from langchain_community.document_loaders import TextLoader
from langchain_community.vectorstores import AtlasDB
from langchain_text_splitters import SpacyTextSplitter
```

```python theme={null}
ATLAS_TEST_API_KEY = "7xDPkYXSYDc1_ErdTPIcoAR9RNd8YDlkS3nVNXcVoIMZ6"
```

### Prepare the Data

```python theme={null}
loader = TextLoader("../../how_to/state_of_the_union.txt")
documents = loader.load()
text_splitter = SpacyTextSplitter(separator="|")
texts = []
for doc in text_splitter.split_documents(documents):
    texts.extend(doc.page_content.split("|"))

texts = [e.strip() for e in texts]
```

### Map the Data using Nomic's Atlas

```python theme={null}
db = AtlasDB.from_texts(
    texts=texts,
    name="test_index_" + str(time.time()),  # unique name for your vector store
    description="test_index",  # a description for your vector store
    api_key=ATLAS_TEST_API_KEY,
    index_kwargs={"build_topic_model": True},
)
```

```python theme={null}
db.project.wait_for_project_lock()
```

```python theme={null}
db.project
```

Here is a map with the result of this code. This map displays the texts of the State of the Union.
[atlas.nomic.ai/map/3e4de075-89ff-486a-845c-36c23f30bb67/d8ce2284-8edb-4050-8b9b-9bb543d7f647](https://atlas.nomic.ai/map/3e4de075-89ff-486a-845c-36c23f30bb67/d8ce2284-8edb-4050-8b9b-9bb543d7f647)