[Docs] Update glossary (#5710)

docs/glossary.md

@@ -46,7 +46,7 @@
 | -------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | Dask                     | Flexible library for parallel computing in Python. Often used for data engineering, data science, and machine learning.                                                                         |
 | Keras                    | An open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library.                                         |
-| KubeFlow pipeline        | Platform for building and deploying portable, scalable machine learning (ML) workflows based on Docker containers.                                                                             |
+| KubeFlow pipeline        | Platform for building and deploying portable, scalable machine learning (ML) workflows based on Docker containers. See [KubeFlow/KFP](https://github.com/kubeflow/pipelines).                   |
 | PyTorch                  | An open source machine learning framework based on the Torch library, used for applications such as computer vision and natural language. processing                                                 |
 | Sklearn                  | Open source machine learning Python library. Used for modelling, pipelines, data transformations, feature engineering, and more.                                                              |
 | Spark                    | Open source parallel processing framework for running large-scale data analytics applications across clustered computers. Often used for data engineering, data science, and machine learning. |