> db = WeaviateVectorStore.from\_documents(docs, embeddings, client=weaviate\_client)
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/Users/xxx/Library/Caches/pypoetry/virtualenvs/app-w4MTL1IK-py3.12/lib/python3.12/site-packages/langchain\_core/vectorstores.py", line 550, in from\_documents
> return cls.from\_texts(texts, embedding, metadatas=metadatas, \*\*kwargs)
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/Users/xxx/Library/Caches/pypoetry/virtualenvs/app-w4MTL1IK-py3.12/lib/python3.12/site-packages/langchain\_weaviate/vectorstores.py", line 477, in from\_texts
> weaviate\_vector\_store = cls(
> ^^^^
> File "/Users/xxx/Library/Caches/pypoetry/virtualenvs/app-w4MTL1IK-py3.12/lib/python3.12/site-packages/langchain\_weaviate/vectorstores.py", line 129, in \_\_init\_\_
> self.\_multi\_tenancy\_enabled = self.\_collection.config.get(
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/Users/xxx/Library/Caches/pypoetry/virtualenvs/app-w4MTL1IK-py3.12/lib/python3.12/site-packages/weaviate/collections/config.py", line 81, in get
> return \_collection\_config\_from\_json(schema)
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/Users/xxx/Library/Caches/pypoetry/virtualenvs/app-w4MTL1IK-py3.12/lib/python3.12/site-packages/weaviate/collections/classes/config\_methods.py", line 246, in \_collection\_config\_from\_json
> vectorizer\_config=\_\_get\_vectorizer\_config(schema),
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
> File "/Users/xxx/Library/Caches/pypoetry/virtualenvs/app-w4MTL1IK-py3.12/lib/python3.12/site-packages/weaviate/collections/classes/config\_methods.py", line 78, in \_\_get\_vectorizer\_config
> vec\_config: Dict\[str, Any\] = schema\["moduleConfig"\].pop(schema\["vectorizer"\])
> ~~~~~~ ^^^^^^^^^^^^^^^^
> KeyError: 'moduleConfig'
> \`\`\`
>
> \*\*Complete Minimal Reproducible Example\*\*
>
> docker-compose.yml
> \`\`\`
> \---
> version: '3.4'
> services:
> weaviate:
> command:
> - --host
> - 0.0.0.0
> - --port
> - '8080'
> - --scheme
> - http
> image: cr.weaviate.io/semitechnologies/weaviate:1.24.10
> ports:
> - 8080:8080
> - 50051:50051
> volumes:
> - weaviate\_data:/var/lib/weaviate
> restart: on-failure:0
> environment:
> CLIP\_INFERENCE\_API: 'http://multi2vec-clip:8080'
> RERANKER\_INFERENCE\_API: 'http://reranker-transformers:8080'
> QUERY\_DEFAULTS\_LIMIT: 25
> AUTHENTICATION\_ANONYMOUS\_ACCESS\_ENABLED: 'true'
> PERSISTENCE\_DATA\_PATH: '/var/lib/weaviate'
> DEFAULT\_VECTORIZER\_MODULE: 'multi2vec-clip'
> ENABLE\_MODULES: 'multi2vec-clip,reranker-transformers'
> CLUSTER\_HOSTNAME: 'node1'
> multi2vec-clip:
> image: cr.weaviate.io/semitechnologies/multi2vec-clip:sentence-transformers-clip-ViT-B-32-multilingual-v1
> environment:
> ENABLE\_CUDA: '0'
> reranker-transformers:
> image: cr.weaviate.io/semitechnologies/reranker-transformers:cross-encoder-ms-marco-MiniLM-L-6-v2
> environment:
> ENABLE\_CUDA: '0'
> volumes:
> weaviate\_data:
> ...
> \`\`\`
>
> I received the error when running the following code:
> \`\`\`py
> from langchain.text\_splitter import CharacterTextSplitter
> from langchain\_community.document\_loaders import TextLoader
> from langchain\_openai import OpenAIEmbeddings
> import weaviate
> from langchain\_weaviate.vectorstores import WeaviateVectorStore
>
> OPENAI\_API\_KEY='xxxx'
>
> loader = TextLoader("state\_of\_the\_union.txt")
> documents = loader.load()
> text\_splitter = CharacterTextSplitter(chunk\_size=1000, chunk\_overlap=0)
> docs = text\_splitter.split\_documents(documents)
>
> embeddings = OpenAIEmbeddings(api\_key=OPENAI\_API\_KEY)
> weaviate\_client = weaviate.connect\_to\_local(port=8080)
> db = WeaviateVectorStore.from\_documents(docs, embeddings, client=weaviate\_client) # error occured here
> \`\`\`
>
>
> \*\*Expected behavior\*\*
> I should be able to create my Weaviate vector store without issues
>
> \*\*Tech Stack (please complete the following information):\*\*
> \- weaviate server version: 1.24.10
> \- weaviate modules enabled: 'multi2vec-clip,reranker-transformers'
> \- langchain-weaviate version: 0.0.1.post1
> \- langchain version: 0.1.17
>
> \*\*Additional context\*\*
> No issues when using weaviate library directly, so probably an issue with how langchain-weaviate creates the initial schema.
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 16, 2024, 2:24am UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/7 "2024-10-16T02:24:58Z")
Can you remove the `DEFAULT_VECTORIZER_MODULE` altogether?
Also, can you copy the docker compose here? Otherwise it’s really copy and paste from the image, as it gets all messed up 😬
Have you looked into the recipe I pasted?
It should give you all the steps to start using Langchain with Weaviate the proper way.
Thanks!
---
### Author:  [@kihumban](https://forum.weaviate.io/u/kihumban)
#### Post date: [October 17, 2024, 2:20am UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/8 "2024-10-17T02:20:20Z")
I removed the DEFAULT\_VECTORIZER\_MODULE and I am still getting the same error. However, I have worked through the the code in the recipe you shared and that is working ok. The only difference is that the recipe is using Embedded Weaviate rather than stand-alone server as was in my code. I am not sure if that has an impact. I will modify the recipe to try with client = weaviate.connect\_to\_local().
The forum platform does not allow me to copy the docker compose file. Every time I do that it flags the post with the following message.
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 17, 2024, 5:40pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/9 "2024-10-17T17:40:10Z")
Hi!
As long as you have a working weaviate client (connect to embedded/local/cloud) it should work accordingly.
You can paste the the docker compose here, like so:
```yaml
---
services:
weaviate:
command:
- --host
- 0.0.0.0
- --port
- '8080'
- --scheme
- http
image: cr.weaviate.io/semitechnologies/weaviate:1.27.0
ports:
- 8080:8080
- 50051:50051
volumes:
- weaviate_data:/var/lib/weaviate
restart: on-failure:0
environment:
QUERY_DEFAULTS_LIMIT: 25
AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'true'
PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
DEFAULT_VECTORIZER_MODULE: 'none'
ENABLE_API_BASED_MODULES: 'true'
CLUSTER_HOSTNAME: 'node1'
volumes:
weaviate_data:
...
```
---
### Author:  [@kihumban](https://forum.weaviate.io/u/kihumban)
#### Post date: [October 17, 2024, 6:42pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/10 "2024-10-17T18:42:01Z")
I have tried pasting the docker compose here but it does not work. I keep getting the error message I indicated above.
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 17, 2024, 7:06pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/11 "2024-10-17T19:06:37Z")
Oh, I mean, the content of the docker compose file.
Feel free to reach out to me on our slack. I would love to help you there too!
---
### Author:  [@kihumban](https://forum.weaviate.io/u/kihumban)
#### Post date: [October 18, 2024, 1:40am UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/12 "2024-10-18T01:40:02Z")
I run the [langchain-simple-pdf-multitenant.ipynb](https://github.com/weaviate/recipes/blob/main/integrations/llm-frameworks/langchain/loading-data/langchain-simple-pdf-multitenant.ipynb) recipe using local stand-alone server instead of embedded and run into the same error. The only section of the code that changed was the initialization of the client
client = weaviate.connect\_to\_local(
headers={
“X-OpenAi-Api-Key”: os.environ.get(“OPENAI\_API\_KEY”), # Replace with your Cohere key
}
)
Here is my docker compose:
```auto
services:
weaviate:
command:
- --host
- 0.0.0.0
- --port
- '8080'
- --scheme
- http
image: cr.weaviate.io/semitechnologies/weaviate:1.26.4
ports:
- 8080:8080
- 50051:50051
volumes:
- weaviate_data:/var/lib/weaviate
restart: on-failure:0
environment:
CLIP_INFERENCE_API: 'http://multi2vec-clip:8080'
QUERY_DEFAULTS_LIMIT: 25
AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'true'
PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
ENABLE_API_BASED_MODULES: 'true'
ENABLE_MODULES: 'multi2vec-clip,text2vec-openai,generative-openai'
CLUSTER_HOSTNAME: 'node1'
multi2vec-clip:
image: cr.weaviate.io/semitechnologies/multi2vec-clip:sentence-transformers-clip-ViT-B-32-multilingual-v1
environment:
ENABLE_CUDA: '0'
volumes:
weaviate_data:
...
```
---
### Author:  [@kihumban](https://forum.weaviate.io/u/kihumban)
#### Post date: [October 18, 2024, 1:55am UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/13 "2024-10-18T01:55:46Z")
Here is the expression and the associated error dump:
db = WeaviateVectorStore.from\_documents(docs, embeddings, client=client, index\_name=“WikipediaLangChainMT”, tenant=“brazil”)
```auto
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
Cell In[11], line 1
----> 1 db = WeaviateVectorStore.from_documents(docs, embeddings, client=client, index_name="WikipediaLangChainMT", tenant="brazil")
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/langchain_core/vectorstores/base.py:835, in VectorStore.from_documents(cls, documents, embedding, **kwargs)
833 texts = [d.page_content for d in documents]
834 metadatas = [d.metadata for d in documents]
--> 835 return cls.from_texts(texts, embedding, metadatas=metadatas, **kwargs)
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/langchain_weaviate/vectorstores.py:487, in WeaviateVectorStore.from_texts(cls, texts, embedding, metadatas, tenant, client, index_name, text_key, relevance_score_fn, **kwargs)
475 attributes = list(metadatas[0].keys()) if metadatas else None
477 weaviate_vector_store = cls(
478 client,
479 index_name,
(...)
484 use_multi_tenancy=tenant is not None,
485 )
--> 487 weaviate_vector_store.add_texts(texts, metadatas, tenant=tenant, **kwargs)
489 return weaviate_vector_store
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/langchain_weaviate/vectorstores.py:167, in WeaviateVectorStore.add_texts(self, texts, metadatas, tenant, **kwargs)
164 if self._embedding:
165 embeddings = self._embedding.embed_documents(list(texts))
--> 167 with self._client.batch.dynamic() as batch:
168 for i, text in enumerate(texts):
169 data_properties = {self._text_key: text}
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/batch/client.py:179, in _BatchClientWrapper.dynamic(self, consistency_level)
177 self._batch_mode: _BatchMode = _DynamicBatching()
178 self._consistency_level = consistency_level
--> 179 return self.__create_batch_and_reset()
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/batch/client.py:135, in _BatchClientWrapper.__create_batch_and_reset(self)
133 def __create_batch_and_reset(self) -> _ContextManagerWrapper[_BatchClient]:
134 if self._vectorizer_batching is None or not self._vectorizer_batching:
--> 135 configs = self.__config.list_all(simple=True)
137 vectorizer_batching = False
138 for config in configs.values():
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/collections/sync.py:286, in _Collections.list_all(self, simple)
265 def list_all(
266 self, simple: bool = True
267 ) -> Union[Dict[str, CollectionConfig], Dict[str, CollectionConfigSimple]]:
268 """List the configurations of the all the collections currently in the Weaviate instance.
269
270 Arguments:
(...)
284 If Weaviate reports a non-OK status.
285 """
--> 286 return self.__loop.run_until_complete(self.__collections.list_all, simple)
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/event_loop.py:40, in _EventLoop.run_until_complete(self, f, *args, **kwargs)
38 raise WeaviateClosedClientError()
39 fut = asyncio.run_coroutine_threadsafe(f(*args, **kwargs), self.loop)
---> 40 return fut.result()
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/concurrent/futures/_base.py:456, in Future.result(self, timeout)
454 raise CancelledError()
455 elif self._state == FINISHED:
--> 456 return self.__get_result()
457 else:
458 raise TimeoutError()
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/concurrent/futures/_base.py:401, in Future.__get_result(self)
399 if self._exception:
400 try:
--> 401 raise self._exception
402 finally:
403 # Break a reference cycle with the exception in self._exception
404 self = None
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/collections/async_.py:304, in _CollectionsAsync.list_all(self, simple)
285 """List the configurations of the all the collections currently in the Weaviate instance.
286
287 Arguments:
(...)
301 If Weaviate reports a non-OK status.
302 """
303 _validate_input([_ValidateArgument(expected=[bool], name="simple", value=simple)])
--> 304 return await self._get_all(simple=simple)
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/collections/base.py:76, in _CollectionsBase._get_all(self, simple)
74 assert res is not None
75 if simple:
---> 76 return _collection_configs_simple_from_json(res)
77 return _collection_configs_from_json(res)
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/classes/config_methods.py:327, in _collection_configs_simple_from_json(schema)
323 def _collection_configs_simple_from_json(
324 schema: Dict[str, Any]
325 ) -> Dict[str, _CollectionConfigSimple]:
326 return {
--> 327 schema["class"]: _collection_config_simple_from_json(schema) for schema in schema["classes"]
328 }
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/classes/config_methods.py:250, in _collection_config_simple_from_json(schema)
242 def _collection_config_simple_from_json(schema: Dict[str, Any]) -> _CollectionConfigSimple:
243 return _CollectionConfigSimple(
244 name=schema["class"],
245 description=schema.get("description"),
246 generative_config=__get_generative_config(schema),
247 properties=_properties_from_config(schema) if schema.get("properties") is not None else [],
248 references=_references_from_config(schema) if schema.get("properties") is not None else [],
249 reranker_config=__get_rerank_config(schema),
--> 250 vectorizer_config=__get_vectorizer_config(schema),
251 vectorizer=__get_vectorizer(schema),
252 vector_config=__get_vector_config(schema, simple=True),
253 )
File /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/weaviate/collections/classes/config_methods.py:88, in __get_vectorizer_config(schema)
86 def __get_vectorizer_config(schema: Dict[str, Any]) -> Optional[_VectorizerConfig]:
87 if __is_vectorizer_present(schema) is not None and schema.get("vectorizer", "none") != "none":
---> 88 vec_config: Dict[str, Any] = schema["moduleConfig"].pop(schema["vectorizer"])
89 try:
90 vectorizer = Vectorizers(schema["vectorizer"])
KeyError: 'moduleConfig'
```
---
### Author:  [@kihumban](https://forum.weaviate.io/u/kihumban)
#### Post date: [October 21, 2024, 1:48am UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/14 "2024-10-21T01:48:02Z")
Is this some kind of a bug? It seem it’s looking for a property called “moduleConfig” in the collection object. But when I look at the collection object configuration (below), there is no property “moduleConfig”
```auto
```
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 21, 2024, 9:30pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/15 "2024-10-21T21:30:37Z")
Hi!
This example in our recipes uses `text2vec-openai` and `generative-openai`
And those modules are enabled:
`ENABLE_MODULES: 'multi2vec-clip,text2vec-openai,generative-openai'`
So it should work. 🤔
have you restarted your docker so the changes take effect?
you can call:
```bash
docker compose up -d
```
---
### Author:  [@kihumban](https://forum.weaviate.io/u/kihumban)
#### Post date: [October 21, 2024, 10:12pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/16 "2024-10-21T22:12:46Z")
I have all those modules enabled in my docker compose as previously indicated. I have restarted the docker several times, the outcome has been consistently the same - KeyError: ‘moduleConfig’.
Below is my docker compose at it currently is. I just run the program and got the same error.
```auto
services:
weaviate:
command:
- --host
- 0.0.0.0
- --port
- '8080'
- --scheme
- http
image: cr.weaviate.io/semitechnologies/weaviate:1.26.4
ports:
- 8080:8080
- 50051:50051
volumes:
- weaviate_data:/var/lib/weaviate
restart: on-failure:0
environment:
CLIP_INFERENCE_API: 'http://multi2vec-clip:8080'
QUERY_DEFAULTS_LIMIT: 25
AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'true'
PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
ENABLE_MODULES: 'multi2vec-clip,text2vec-openai,generative-openai'
ENABLE_API_BASED_MODULES: 'true'
CLUSTER_HOSTNAME: 'node1'
multi2vec-clip:
image: cr.weaviate.io/semitechnologies/multi2vec-clip:sentence-transformers-clip-ViT-B-32-multilingual-v1
environment:
ENABLE_CUDA: '0'
volumes:
weaviate_data:
...
```
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 21, 2024, 10:23pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/17 "2024-10-21T22:23:52Z")
Hi! This is strange.
I have used your docker compose, and was able to run this:
```auto
client.collections.delete("Kihu")
collection = client.collections.create(
"Kihu",
vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_openai(),
generative_config=wvc.config.Configure.Generative.openai(),
)
collection.data.insert({"text": "This is a test"})
obj = collection.generate.fetch_objects(single_prompt="translate {text} to spanish", include_vector=True).objects[0]
print("Generation", obj.generated)
print("Generation", obj.vector)
```
Let me know if you can run this code.
Thanks!
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 21, 2024, 10:24pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/18 "2024-10-21T22:24:43Z")
Also, you can check what are the installed modules in a server with:
```python
client.get_meta().get("modules")
```
---
### Author:  [@kihumban](https://forum.weaviate.io/u/kihumban)
#### Post date: [October 22, 2024, 12:31am UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/19 "2024-10-22T00:31:02Z")
> [@DudaNogueira](#):
>
> `client.get_meta().get("modules")`
the modules are there. See below.
```auto
{'generative-anthropic': {'documentationHref': 'https://docs.anthropic.com/en/api/getting-started',
'name': 'Generative Search - Anthropic'},
'generative-anyscale': {'documentationHref': 'https://docs.anyscale.com/endpoints/overview',
'name': 'Generative Search - Anyscale'},
'generative-aws': {'documentationHref': 'https://docs.aws.amazon.com/bedrock/latest/APIReference/welcome.html',
'name': 'Generative Search - AWS'},
'generative-cohere': {'documentationHref': 'https://docs.cohere.com/reference/chat',
'name': 'Generative Search - Cohere'},
'generative-databricks': {'documentationHref': 'https://docs.databricks.com/en/machine-learning/foundation-models/api-reference.html#completion-task',
'name': 'Generative Search - Databricks'},
'generative-friendliai': {'documentationHref': 'https://docs.friendli.ai/openapi/create-chat-completions',
'name': 'Generative Search - FriendliAI'},
'generative-mistral': {'documentationHref': 'https://docs.mistral.ai/api/',
'name': 'Generative Search - Mistral'},
'generative-octoai': {'documentationHref': 'https://octo.ai/docs/text-gen-solution/getting-started',
'name': 'Generative Search - OctoAI'},
'generative-openai': {'documentationHref': 'https://platform.openai.com/docs/api-reference/completions',
'name': 'Generative Search - OpenAI'},
'generative-palm': {'documentationHref': 'https://cloud.google.com/vertex-ai/docs/generative-ai/chat/test-chat-prompts',
'name': 'Generative Search - Google PaLM'},
'multi2vec-palm': {'documentationHref': 'https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-multimodal-embeddings',
'name': 'Google PaLM Multimodal Module'},
'reranker-cohere': {'documentationHref': 'https://txt.cohere.com/rerank/',
'name': 'Reranker - Cohere'},
'reranker-voyageai': {'documentationHref': 'https://docs.voyageai.com/reference/reranker-api',
'name': 'Reranker - VoyageAI'},
'text2vec-aws': {'documentationHref': 'https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html',
'name': 'AWS Module'},
'text2vec-cohere': {'documentationHref': 'https://docs.cohere.ai/embedding-wiki/',
'name': 'Cohere Module'},
'text2vec-databricks': {'documentationHref': 'https://docs.databricks.com/en/machine-learning/foundation-models/api-reference.html#embedding-task',
'name': 'Databricks Foundation Models Module - Embeddings'},
'text2vec-huggingface': {'documentationHref': 'https://huggingface.co/docs/api-inference/detailed_parameters#feature-extraction-task',
'name': 'Hugging Face Module'},
'text2vec-jinaai': {'documentationHref': 'https://jina.ai/embeddings/',
'name': 'JinaAI Module'},
'text2vec-octoai': {'documentationHref': 'https://octo.ai/docs/text-gen-solution/getting-started',
'name': 'OctoAI Module'},
'text2vec-openai': {'documentationHref': 'https://platform.openai.com/docs/guides/embeddings/what-are-embeddings',
'name': 'OpenAI Module'},
'text2vec-palm': {'documentationHref': 'https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings',
'name': 'Google PaLM Module'},
'text2vec-voyageai': {'documentationHref': 'https://docs.voyageai.com/docs/embeddings',
'name': 'VoyageAI Module'}}
```
---
### Author:  [@DudaNogueira](https://forum.weaviate.io/u/DudaNogueira)
#### Post date: [October 22, 2024, 1:30pm UTC](https://forum.weaviate.io/t/keyerror-moduleconfig-error-message/5035/20 "2024-10-22T13:30:41Z")
were you able to run that code?
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