Agentic pipeline

Agentic pipelines replace rigid, linear workflows with autonomous reasoning loops that plan, use tools, and self-correct to reach a defined goal.

Traditional pipelines break when they hit an edge case; agentic pipelines adapt. By integrating Large Language Models (LLMs) as reasoning engines within frameworks like LangGraph or CrewAI, these systems move beyond simple If-Then logic to iterative cycles of observation and action. A typical deployment—such as an automated research agent—doesn't just scrape a URL; it evaluates the content, decides if more data is needed, and executes new searches until the objective is met. This shift from imperative scripts to declarative goals allows for self-healing data flows and complex multi-step operations that handle ambiguity without constant human intervention.

https://www.langchain.com/langgraph