kRAIG: A Natural Language-Driven Agent for Automated DataOps Pipeline Generation
Modern machine learning systems rely on complex data engineering workflows to extract, transform, and load (ELT) data into production pipelines. However, constructing these pipelines remains time-consuming and requires substantial expertise in data infrastructure and orchestration frameworks. Recent advances in large language model (LLM) agents offer a potential path toward automating these workflows, but existing approaches struggle with under-specified user intent, unreliable tool generation, and limited guarantees of executable outputs. We introduce kRAIG, an AI agent that translates natural language specifications into production-ready Kubeflow Pipelines (KFP). To resolve ambiguity in...
| Authors | Rohan Siva, Kai Cheung, Lichi Li et al. |
|---|---|
| Primary category | cs.SE |
| Published | 19 March 2026 |
| Last updated at source | 19 March 2026 |
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