I don't think you can do that easily. If you already have a list of embeddings from a different model, you might be able to generate an alignment somehow, but in general, I wouldn't recommend it.
That's my point, maybe VectorDBs in production should have a fallback mechanism, for the documents inserted,
1. Generate embeddings using services such as OpenAI, which is usually more powerful;
2. Generate backup embeddings using local, more stable models, such as Llama2 embeddings or simply some BERT-family-model (which is more affordable).
When outages comes up you simply switch from one vector space to another. Though
possible, model alignments are much harder and more expensive to achieve.
1. Generate embeddings using services such as OpenAI, which is usually more powerful;
2. Generate backup embeddings using local, more stable models, such as Llama2 embeddings or simply some BERT-family-model (which is more affordable).
When outages comes up you simply switch from one vector space to another. Though possible, model alignments are much harder and more expensive to achieve.