Parsing, Saving and Retrieving Resume using embeddings and vector database or elasticsearch

I want to create a multitenant Python project for Parsing, Saving and Retrieving Resume using either (embeddings and vector database) or ( elasticsearch ). I should be able to create a different account for each new client. Eventually I might have multiple clients and hence I want to design the database in a way that each clients data is totally separate (may be we can use different schema for each client within same database.)
Clients are the staffing companies who get a job requirement from different companies.
Each client will have a superadmin, account manager and recruiter roles . Both super and account manager can create a job. For each job id, all 3 users can search for resumes in central database and can download it. Resume download history can be saved and viewable.