From pipelines to agents

Our RAG pipeline works great for questions about Green Bites' own data. But what if a customer asks "What are the health benefits of oyster mushrooms?" That information isn't in our knowledge base, and a fixed pipeline always searches the same database.

An agent adds a reasoning loop. Instead of blindly following "embed → search → answer," an agent thinks about the question first and decides which tool to use. It might search your knowledge base, search the web, or combine both to build a complete answer.

Not necessarily. The ReAct loop includes an "Observe" step where the agent evaluates the tool's result. If it gets irrelevant information, it can reason that it used the wrong tool and try a different one in the next iteration. This self-correcting behavior is what makes agents more reliable than fixed pipelines.