That's my point, maybe VectorDBs in production should have a fallback mechanism, for the documents inserted, 1. Generate embeddings using services such as Open

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.