Streamlining AI Pipelines with Workflows in LlamaIndex
Explore how to design and implement structured, step-by-step AI workflows in LlamaIndex. This lesson guides you through building pipelines that enable multi-step reasoning, task automation, and reliable data processing using LLaMA 3 and workflow components.
What if our AI system could think in steps?
Imagine this scenario:
We’re building an AI system that helps users make better financial decisions.
A user enters:
“Give me a smart way to save money every month—and tell me if it's realistic based on average spending habits.”
This isn’t a simple question. It involves multiple tasks:
Step 1: Generate a money-saving suggestion.
Step 2: Evaluate whether the suggestion makes sense for a typical user.
To solve this, we need the AI to think in steps—not just answer, but reason, reflect, and respond in a structured sequence.
This is where workflows in LlamaIndex come in.
With workflows, we can design AI logic as a set of interconnected steps. Each step does one job—generate, evaluate, transform—and passes its result to the next. We don’t have to rely on the LLM to ...