Updated diagrams and documentation.

Author: chcost

docs/source/_static/custom.css

@@ -28,6 +28,12 @@ img[alt='Open R Editor'] {
   height: 50%;
 }
 
+img[alt=pipelines] {
+  width: 320px;
+  margin-left: auto;
+  margin-right: auto;
+}
+
 .wy-side-nav-search .wy-dropdown > a img.logo, .wy-side-nav-search > a img.logo {
   width: 160px;
 }

docs/source/codeflare.pipelines.rst

@@ -1,4 +1,4 @@
-CodeFlare Pipelines
+API Documentation
 ===========================
 
 CodeFlare Pipelines Datamodel

docs/source/images/codeflare_arch_diagram.svg

@@ -37,6 +37,7 @@ of complex multi-step analytics and machine learning pipelines on the cloud.
    :maxdepth: 4
    :caption: User guide
 
+   pipelines/pipelines_overview
    codeflare.pipelines
 
 .. toctree::

docs/source/images/pipelines.svg

@@ -0,0 +1,18 @@
+![pipelines](../images/pipelines.svg)
+
+## CodeFlare Pipelines
+
+CodeFlare Pipelines reimagined pipelines to provide a more intuitive API for the data scientist to create AI/ML pipelines, data workflows, pre-processing, post-processing tasks, and many more which can scale from a laptop to a cluster seamlessly.
+
+See the API documentation [here](https://codeflare.readthedocs.io/en/latest/codeflare.pipelines.html), and reference use case documentation in the Examples section.
+
+Examples are provided as execuatble [notebooks](https://github.com/project-codeflare/codeflare/tree/main/notebooks). 
+
+Notebooks can can be run with locally with:
+```shell
+jupyter-lab notebooks/<example_notebook>
+```
+
+Or, if using any of the recommended cloud based deployments, examples are found in `codeflare/notebooks`, which can be executed directly from Jupyter environment. 
+
+As a first example, we recommend the [sample pipeline](https://github.com/project-codeflare/codeflare/blob/main/notebooks/sample_pipeline.ipynb).