You can read the original post over on lukaswalter.dev . Developers often start RAG apps using tutorials that recommend dedicated vector databases. Step 1: Sign up for a vector database like Pinecone or Qdrant. This adds a costly SaaS service to your architecture or requires you to manage it yourself. And if you are building line-of-business applications in .NET, dedicated vector databases often introduce another problem: Data Synchronization. If core entities like Products, Customers, or SupportTickets exist in a relational database and vector embeddings reside in a specialized vector DB, you face a distributed systems challenge. What if a product is deleted or its description updated? Synchronizing datastores becomes daunting. A pragmatic solution? Store your vectors alongside your relational data. Using PostgreSQL, the pgvector extension transforms your relational database into a powerful vector search engine. Better yet, it integrates seamlessly with Entity Framework Core.…