Generative AI with Python

7.3    Simple Agent

In Chapter 6, we worked with RAG. We’ll build upon that knowledge with a simple implementation of an agentic RAG. Then, we’ll develop an agentic system that combines both reasoning and acting and thus is called ReAct.

7.3.1    Agentic RAG

Agentic RAG describes a system that relies on RAG, but with a small tweak. In the pipeline, intelligent AI agents are enabled to improve the system whenever the results are insufficient. For example, when the RAG system does not retrieve relevant information from the data retrieval system (typically the vector database), other information sources are tapped and used generating the final answer. In our first coding example, we’ll implement this functionality. Figure 7.3 shows the workflow ...