# VoyageAI text embedding in Weaviate Cloud - Not working

**URL:** <https://forum.weaviate.io/t/voyageai-text-embedding-in-weaviate-cloud-not-working/2543>\
**Category:** Support\
**Tags:** integration, wcs, python\
**Created:** [May 29, 2024, 6:45pm UTC](https://forum.weaviate.io/t/voyageai-text-embedding-in-weaviate-cloud-not-working/2543 "2024-05-29T18:45:44Z")\
**Posts on this page:** 4\
**Page:** 1

<div class="post-metadata">

**Author:** ![Stephen\_Paek](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/stephen_paek/32/1625_2.png) [@Stephen\_Paek](https://forum.weaviate.io/u/Stephen_Paek)\
**Post date:** [May 29, 2024, 6:45pm UTC](https://forum.weaviate.io/t/voyageai-text-embedding-in-weaviate-cloud-not-working/2543/1 "2024-05-29T18:45:44Z")

</div>

### Description

Hello friends, we’re having issues creating a collection/class with the voyageAI text embedding using the python v4 SDK. Here are our details:

```auto
client = weaviate.connect_to_wcs(
    cluster_url=WEAVIATE_CLUSTER_URL,
    auth_credentials=weaviate.auth.AuthApiKey(WEAVIATE_API_KEY),
    headers={
        "X-VoyageAI-Api-Key": VOYAGE_API_KEY
    }

```

Error message:

```auto
weaviate.exceptions.UnexpectedStatusCodeError: Collection may not have been created properly.! Unexpected status code: 422, with response body: {'error': [{'message': 'target vector "title_vector": vectorizer: no module with name "text2vec-voyageai" present'}]}.

```

### Server Setup Information

- Weaviate Server Version: 1.24.14
- Deployment Method: WCS
- Multi Node? Number of Running Nodes: not applicable
- Client Language and Version: Python v4 SDK, weaviate-client==4.6.3

### Any additional Information

---

<div class="post-metadata">

**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\
**Post date:** [May 29, 2024, 9:06pm UTC](https://forum.weaviate.io/t/voyageai-text-embedding-in-weaviate-cloud-not-working/2543/2 "2024-05-29T21:06:05Z")

</div>

hi @Stephen_Paek !

Welcome to our community 🤗

For all hosted server in our cloud, the best place to ask for support is sending an email to [support@weaviate.io](mailto:support@weaviate.io)

I was able to identify your cluster in our severs, and noticed that the VoyageAI was not properly installed on your server 🤔

I have enabled this module on your server.

Also, check your email for the support ticket.

Thanks!

---

<div class="post-metadata">

**Author:** ![Stephen\_Paek](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/stephen_paek/32/1625_2.png) [@Stephen\_Paek](https://forum.weaviate.io/u/Stephen_Paek)\
**Post date:** [May 29, 2024, 9:24pm UTC](https://forum.weaviate.io/t/voyageai-text-embedding-in-weaviate-cloud-not-working/2543/3 "2024-05-29T21:24:03Z")

</div>

Thanks very much Duda. We’ve replied to the support ticket you created.

We can successfully create the class, but the `Vectorizer` module is still showing empty, even though we saw no error message when creating the class.

---

<div class="post-metadata">

**Author:** ![DudaNogueira](https://yyz1.discourse-cdn.com/flex027/user_avatar/forum.weaviate.io/dudanogueira/32/7846_2.png) [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)\
**Post date:** [May 30, 2024, 11:55am UTC](https://forum.weaviate.io/t/voyageai-text-embedding-in-weaviate-cloud-not-working/2543/4 "2024-05-30T11:55:12Z")

</div>

Hi!

I was able to use it with the code below:

```auto
import weaviate
import os
from weaviate import classes as wvc
client = weaviate.connect_to_local(
    headers={
        "X-VoyageAI-Api-Key": os.environ.get("VOYAGE_API_KEY")
    }
)
client.collections.delete("Test")

col = client.collections.create(
    "Test",
    vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_voyageai(),
    properties=[
        wvc.config.Property(name="text", data_type=wvc.config.DataType.TEXT)
    ]
)

col.data.insert({"text": "some text here"})

# assert name of the vectorizer
assert col.config.get().vectorizer.name == "TEXT2VEC_VOYAGEAI"

# assert first object has vectors
assert len(col.query.fetch_objects(include_vector=True).objects[0].vector.get("default")) > 0

```

Let me know if this helps or please, is possible, share the collection creation code.

Thanks!