April 2026
Intermediate
430 pages
9h 49m
English
In the previous chapter, we introduced the concept of bringing intelligence to the data, a paradigm shift that reverses the traditional flow of AI development. Now, we must move from that conceptual simulation to concrete engineering. This transition represents the meeting of two sovereignties: the fluid, reasoning logic of a portable multi-agent system (MAS) and the immutable ecosystem of an enterprise database. We are no longer discussing architecture but building the actual infrastructure where the logic of your Python code nests securely into the Oracle Database. This chapter is about the hard work of architecture, where we replace the magic of black-box AI with a transparent, engineered pipeline ...
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