There are a few things you can do. If these access patterns are well known ahead of time, you can train subdomain behavior into the embedding models by using pr

There are a few things you can do. If these access patterns are well known ahead of time, you can train subdomain behavior into the embedding models by using prefixing. E.g. content: fixing a broken printer, tone: frustration about broken printer, and "fixing a broken printer" can all be served by a single model. We have customers doing this in production in other contexts. If you have fundamentally different access patterns (e.g. doc -> doc retrieval instead of query -> doc retrieval) then it's often time to just maintain another embedding index with a different model.