Context Engineering for AI-Readiness: Enterprise RAG Architectures and Vector Databases

Today's enterprises need effective retrieval-augmented generation that extends existing data architectures without replacing current investments. As organizations face challenges in scaling RAG systems beyond proof-of-concept, the focus must shift to creating context engineering approaches that support enterprise-scale document collections and concurrent user access, including vector databases and hybrid search architectures. This technical approach is not just about technology selection; it is a critical necessity for enabling AI applications to deliver sub- second performance while ensuring quality and cost control.