# Failed to create collection with vectorizers using demo code in nodejs
**URL:** https://forum.weaviate.io/t/failed-to-create-collection-with-vectorizers-using-demo-code-in-nodejs/4436
**Category:** Support
**Created:** [October 5, 2024, 2:08pm UTC](https://forum.weaviate.io/t/failed-to-create-collection-with-vectorizers-using-demo-code-in-nodejs/4436 "2024-10-05T14:08:01Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@Sandon](https://forum.weaviate.io/u/Sandon)
#### Post date: [October 5, 2024, 2:08pm UTC](https://forum.weaviate.io/t/failed-to-create-collection-with-vectorizers-using-demo-code-in-nodejs/4436/1 "2024-10-05T14:08:01Z")
Environment: free cloud sandbox instance on Weaviate Cloud (WCD)
Code language: nodejs (v18.20.4)
Version: weaviate-client (v3.1.5)
Code:
```
const client = await weaviate.connectToWeaviateCloud(
clusterUrl,
{
authCredentials: new weaviate.ApiKey(apiKeyAdmin),
headers: {
'X-OpenAI-Api-Key': openaiApiKey
}
}
)
await client.collections.create({
name: testCollectionName,
vectorizers: [
weaviate.configure.vectorizer.text2VecOpenAI({
name: 'question_vector',
sourceProperties: ['question'],
model: 'text-embedding-3-large',
dimensions: 1024
})
],
properties: [
{ name: 'category', dataType: dataType.TEXT },
{ name: 'question', dataType: dataType.TEXT },
{ name: 'answer', dataType: dataType.TEXT },
]
})
```
It’s demo code from the document. But it can not create collection with vectorizer. (The result is : collection is created, but the `Vectorizer` is empty when view in console page)
Plus: The `openaiApiKey` provided is corrent.
I don’t know what’s wrong. Need help here. Thanks.
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 6, 2024, 5:43pm UTC](https://forum.weaviate.io/t/failed-to-create-collection-with-vectorizers-using-demo-code-in-nodejs/4436/2 "2024-10-06T17:43:56Z")
hi @Sandon !!
Welcome to our community 🤗
This may be a bug in the console.
Apart from the vectorizer not being showed in the console, do you were you able to index and query your data as expected?
---
### Author:  [@Sandon](https://forum.weaviate.io/u/Sandon)
#### Post date: [October 7, 2024, 2:01pm UTC](https://forum.weaviate.io/t/failed-to-create-collection-with-vectorizers-using-demo-code-in-nodejs/4436/3 "2024-10-07T14:01:14Z")
Hi, @DudaNogueira
I use the following code, but did not get vector showed (it is an empty object):
```auto
for await (let item of questions.iterator({
includeVector: true
})) {
console.log('item.vectors', item.vectors)
}
```
* * *
Not only failed to create collection with named vector above. Also failed to create collection with default vector by code:
```auto
await client.collections.create({
name: testCollectionName,
vectorizers: vectorizer.text2VecOpenAI(),
properties: [
{ name: 'category', dataType: dataType.TEXT },
{ name: 'question', dataType: dataType.TEXT },
{ name: 'answer', dataType: dataType.TEXT },
]
})
```
After using this code to create. Then use code:
```auto
for await (let item of questions.iterator({
includeVector: true
})) {
console.log('item.vectors', item.vectors)
}
```
to query vector data. Still get empty object.
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 14, 2024, 9:16pm UTC](https://forum.weaviate.io/t/failed-to-create-collection-with-vectorizers-using-demo-code-in-nodejs/4436/4 "2024-10-14T21:16:28Z")
hi @Sandon !
What is the error message you get?
here is a full working code for typescript:
```auto
import weaviate, { dataType, vectorizer, WeaviateClient } from 'weaviate-client';
async function runFullExample() {
const client: WeaviateClient = await weaviate.connectToLocal(
)
console.log(await client.isReady());
await client.collections.delete("Test")
await client.collections.create({
name: "Test",
vectorizers: vectorizer.text2VecOpenAI(),
properties: [
{ name: 'category', dataType: dataType.TEXT },
{ name: 'question', dataType: dataType.TEXT },
{ name: 'answer', dataType: dataType.TEXT },
]
})
const collection = client.collections.get("Test")
await collection.data.insert({
"category": "cat1",
"question": "q1",
"answer": "a1"
})
const obj = (await collection.query.fetchObjects({limit:1, includeVector:true})).objects[0]
console.log(obj.vectors)
}
runFullExample();
```
Let me know if this helps!