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#43 - Beyond the Chatbox: How MCP Turns LLMs into Autonomous Operators
The Model Context Protocol (MCP) dismantles the "data silos" of modern AI, providing a standardized bridge for LLMs to move beyond conversation and into direct, real-world execution.
