Enrichment examples showing tables, images, and NER

ui/enriching/image-descriptions.mdx

@@ -39,6 +39,14 @@ Line breaks have been inserted here for readability. The output will not contain
 }
 ```
 
+Here are three examples of the descriptions for detected images. These descriptions are generated with GPT-4o by OpenAI:
+
+![Description of an image showing a scatter plot graph](/img/enriching/Image-Description-1.png)
+
+![Description of an image showing the Matthews Correlation Coefficient for different VQA datasets](/img/enriching/Image-Description-2.png)
+
+![Description of an image showing three scatter plots](/img/enriching/Image-Description-3.png)
+
 Any embeddings that are produced after these summaries are generated will be based on the `text` field's contents.
 
 ## Generate image descriptions

ui/enriching/ner.mdx

@@ -96,6 +96,11 @@ entities and their relationship types, using GPT-4o. Note specifically the `enti
 }
 ```
 
+Here is another example of some of the entities, their entity types, and relationships that are recognized for a given paragraph of text. This information 
+is generated by GPT-4o by OpenAI:
+
+![Named entity recognition for information in a paragraph of text](/img/enriching/NER-Example.png)
+
 By default, the following entity types are supported for NER:
 
 - `PERSON`

ui/enriching/table-descriptions.mdx

@@ -43,6 +43,12 @@ Line breaks have been inserted here for readability. The output will not contain
 }
 ```
 
+Here are two examples of the descriptions for detected tables. These descriptions are generated with GPT-4o by OpenAI:
+
+![Description of a table with information about endoscopic datasets](/img/enriching/Table-Description-1.png)
+
+![Description of a table with information about potentiodynamic polarization of stainless steel](/img/enriching/Table-Description-2.png)
+
 The generated table's summary will overwrite any previous contents in the `text` field. The table's original content is available 
 in the `image_base64` field.