LLM/RAG/Agentic

This image shows a diagram titled “LLM RAG Agentic” that illustrates the components and relationships in an AI system architecture.

The diagram is organized in a grid-like layout with three rows and three columns. Each row appears to represent different functional aspects of the system:

Top row:

• Left: “Text QnA” in a blue box
• Middle: A question mark icon with what looks like document/chat symbols
• Right: “LLM” (Large Language Model) in a blue box with a brain icon connected to various data sources/APIs in the middle

Middle row:

• Left: “Domain Specific” in a blue box
• Middle: A “Decision by AI” circle/node that serves as a central connection point
• Right: “RAG” (Retrieval-Augmented Generation) in a blue box with database/server icons

Bottom row:

• Left: “Agentic & Control Automation” in a blue box
• Middle: A task management or workflow icon with checkmarks and a clock
• Right: “Agentic AI” in a blue box with UI/interface icons

Arrows connect these components, showing how information and processes flow between them. The diagram appears to illustrate how a large language model integrates with retrieval-augmented generation capabilities and agentic (autonomous action-taking) functionality to form a complete AI system.

With Claude