SL#44 - Building Agentic RAG Systems: Architecture, Reasoning Loops, and Production Considerations
The transition from simple LLM wrappers to AI Agents represents the next frontier in software engineering. While traditional Retrieval-Augmented Generation (RAG) improved LLM accuracy, Agentic RAG introduces a reasoning layer that allows the system to autonomously decide how to use data to solve a problem.
SL#42 - From Passive LLMs to Autonomous Agents: The Evolution of AI Workflows
The field of Artificial Intelligence is rapidly evolving from simple text generation to autonomous problem-solving. To understand where the industry is heading, technical professionals must distinguish between three distinct levels of AI implementation: Passive LLMs, AI Workflows, and Autonomous AI Agents.
