Knowledge Graphs + RAG: Building the PLM Digital Brain

Retrieval-Augmented Generation (RAG) and Knowledge Graphs were standout topics, presented as the foundation of enterprise AI.
RAG allows large language models to access live organizational knowledge, while Knowledge Graphs structure relationships between data, designs, and decisions.

Together, they form a digital brain that connects every element of product development, enabling AI to answer questions such as:

“Which past designs used the same alloy and failed under vibration testing?”

Cerebital is advancing this vision by integrating RAG and graph-based reasoning directly into Nora IPLM and creating a platform that continuously learns, adapts, and improves.

RAG allows large language models to access live organizational knowledge, while Knowledge Graphs capture structured relationships between data, designs, and decisions.
In the context of PLM, this combination forms a digital brain that connects every element of product development.
It enables AI to answer queries like:
“Which past designs used the same alloy and failed under vibration testing?”

Cerebital is advancing this vision by integrating RAG and graph-based reasoning directly into Nora IPLM, creating a platform that learns and adapts with every iteration.

Trend 1: Data-Centric PLM and the Rise of the Digital Thread

Legacy PLM systems were file-centric, focusing on document management and control. But modern product development depends on data flowing across CAD, ERP, MES, IoT, and supply chain systems. Managing only files means losing valuable context.

Next-generation PLM platforms like Nora IPLM use a data-centric architecture to build a continuous digital threadlinking design, production, quality, and field operations.
Every component, requirement, and process becomes part of a connected knowledge network.

This provides complete traceability. Engineers can instantly see why a change was made, how it affects manufacturing, and what impact it has on performance.

From data silos to connected intelligence, that is the foundation of next-generation PLM.