Add links to latest blogs and webinars (#742)

Author: Paul-Cornell

ui/enriching/table-descriptions.mdx

@@ -84,3 +84,6 @@ Select **Table**, and then choose one of the following provider (and model) comb
 Make sure after you choose the provider and model, that **Table Description** is also displayed. If **Table Description** and **Table to HTML** are both 
 displayed, be sure to select **Table Description**.
 
+## Learn more 
+
+- <Icon icon="video" />&nbsp;&nbsp;[How to Extract Data from Complex Tables](https://unstructured.io/events/how-to-extract-data-from-complex-tables) 

ui/enriching/table-to-html.mdx

@@ -83,4 +83,10 @@ Make sure after you choose this provider and model, that **Table to HTML** is al
     **Chunker** node before a table-to-HTML output **Enrichment** node could cause incomplete or no table-to-HTML output to be generated.
 </Note>
 
-<EnrichmentTableToHTMLHiResOnly />
+<EnrichmentTableToHTMLHiResOnly />
+
+## Learn more 
+
+- <Icon icon="video" />&nbsp;&nbsp;[How to Extract Data from Complex Tables](https://unstructured.io/events/how-to-extract-data-from-complex-tables) 
+- <Icon icon="blog" />&nbsp;&nbsp;[The Case for HTML as the Canonical Representation in Document AI](https://unstructured.io/blog/the-case-for-html-as-the-canonical-representation-in-document-ai)
+- <Icon icon="blog" />&nbsp;&nbsp;[Preserving Table Structure for Better Retrieval](https://unstructured.io/blog/preserving-table-structure-for-better-retrieval)

ui/partitioning.mdx

@@ -119,4 +119,7 @@ that model's provider. For the list of languages that each model supports, see t
   - Meta Llama 3.2 90B Instruct: "English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai" ([Source](https://aws.amazon.com/bedrock/llama/))
   - Meta Llama 3.2 11B Instruct: "English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai" ([Source](https://aws.amazon.com/bedrock/llama/))
 
+## Learn more
 
+- <Icon icon="blog" />&nbsp;&nbsp;[The Case for HTML as the Canonical Representation in Document AI](https://unstructured.io/blog/the-case-for-html-as-the-canonical-representation-in-document-ai)
+- <Icon icon="video" />&nbsp;&nbsp;[How to Extract Data from Complex Tables](https://unstructured.io/events/how-to-extract-data-from-complex-tables) 

welcome.mdx

@@ -7,7 +7,8 @@ sidebarTitle: Welcome!
 
 ## What is Unstructured?
 
-Unstructured provides a platform and tools to ingest and process unstructured documents for retrieval-augmented generation (RAG), agentic AI, and model fine-tuning.
+Unstructured provides a platform and tools to ingest and process unstructured documents for [retrieval-augmented generation (RAG)](https://unstructured.io/blog/rag-whitepaper), 
+[agentic AI](https://unstructured.io/problems-we-solve#powering-agentic-ai), and model fine-tuning.
 
 This 60-second video describes more about what Unstructured does and its benefits (no sound):