I have created embeddings using "local:BAAI/bge-small-en-v1.5" and stored in Elasticsearch. I am using OpenAI for the query engine. However, I got this error
BadRequestError: BadRequestError(400, 'search_phase_execution_exception', 'failed to create query: the query vector has a different dimension [1536] than the index vectors [384]')
. My question is whether I should look for a Huggingface model with vector dimension = 1536 or there is a way to query an VectorStore whose vector dimension is different to the vector dimension used in the query engine?
