Setting Query vector Size

I used Ollama Embeddings through langchain with one of the models to embed a large number of documents. The LLM I am using is a multi-lingual model and has already been tested on a significant document set in solely English. When I query the vector store through LanceDB I receive the error "ValueError: Query vector size 8192 does not match index column size 384." I am using the exact same embedding model but now he query vector is 8192. How do I set the vector size to make it match the index column size with Ollama embedding?