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As enterprises increasingly adopt AI-powered applications, vector databases have become a critical component of modern AI infrastructure. They enable capabilities such as semantic search, Retrieval-Augmented Generation (RAG), recommendation engines, document intelligence, and knowledge assistants. While vector databases deliver significant value, they can also become a growing source of operational expenditure as AI workloads scale. Many […]

Introduction Large Language Models (LLMs) have moved beyond experimentation and are becoming a core component of enterprise technology strategies. Organizations are deploying AI-powered assistants, customer support systems, knowledge management platforms, workflow automation tools, and decision-support applications at an unprecedented pace. However, deploying a single AI model is very different from managing dozens—or even hundreds—of models