Agentic AI: Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
Year: 2026
Type: article
Abstract: This handbook exists because of a gap we kept running into ourselves. Most material on agentic AI andretrieval-augmented generation sits at one of two extremes: either a breathless case for how agentschange everything, with no working code attached to the claim, or a narrow tool tutorial that teaches aframework's own syntax and says nothing about the engineering judgement underneath it. Neitherextreme is much use to someone who actually has to ship a system, with real users depending on itsanswers, that a human eventually has to trust with an action rather than only a sentence
Authors: Patria, Harry, Setiadi, Felix
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7203867889
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