I have added some Hebrew texts to my embeddings. I use NearText queries under the Tex2Vec OpenAI transformer.
I am curious if these queries will match similar contexts in the Hebrew texts?
Hi!
It will depend on the LLM inference you use.
If it supports your language, it should work fine as long as Weaviate is aware 
Let me know if this helps!
gpt-4 is the model. It supports Hebrew.
How is Weaviate made aware?
When you create a collection, you can specify a vectorizer model.
As long as this vectorizer model support multi language, and your class was configured to use it, it should work.
for example:
import weaviate.classes as wvc
client.collections.create(
"Article",
vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_cohere(
model="embed-multilingual-v2.0",
vectorize_collection_name=True
),
)
Cohere has a nice multi language model:
Let me know if this helps
Yes, thanks.
Actually, I want to create a new cluster and use text-embedding-3-large as my embedding model. Do you have a way of finding out if it is multi-lingual? I have asked on the OpenAI developer forum, but so far nobody seems to know.
