docs: enrich landing pages (#2165)

Signed-off-by: Panos Vagenas <pva@zurich.ibm.com>

docs/concepts/docling_document.md

@@ -1,4 +1,4 @@
-With Docling v2, we introduce a unified document representation format called `DoclingDocument`. It is defined as a
+With Docling v2, we introduced a unified document representation format called `DoclingDocument`. It is defined as a
 pydantic datatype, which can express several features common to documents, such as:
 
 * Text, Tables, Pictures, and more

docs/concepts/index.md

@@ -1 +1,17 @@
-Use the navigation on the left to browse through some core Docling concepts.
+In this space, you can peek under the hood and learn some fundamental Docling concepts!
+
+Here some of our picks to get you started:
+
+- 🏛️ Docling [architecture](./architecture.md)
+- 📄 [Docling Document](./docling_document.md)
+- core operations like ✍️ [serialization](./serialization.md) and ✂️ [chunking](./chunking.md)
+
+👈 ... and there is much more: explore all the concepts using the navigation menu on the side
+
+<div class="grid" style="text-align: center">
+    <div class="card">
+        <img loading="lazy" alt="Docling architecture" src="../assets/docling_arch.png" width="75%" />
+        <hr />
+        Docling architecture outline
+    </div>
+</div>

docs/examples/index.md

@@ -1 +1,23 @@
-Use the navigation on the left to browse through examples covering a range of possible workflows and use cases.
+In this space, you can explore numerous Docling application recipes & end-to-end workflows!
+
+Here some of our picks to get you started:
+
+- 🔀 conversion examples ranging from [simple conversion to Markdown](./minimal.py) and export of [figures](./export_figures.py) & [tables](./export_tables.py), to [VLM](./minimal_vlm_pipeline.py) and [audio](./minimal_asr_pipeline.py) pipelines
+- 💬 various RAG examples, e.g. based on [LangChain](./rag_langchain.ipynb), [LlamaIndex](./rag_llamaindex.ipynb), or [Haystack](./rag_haystack.ipynb), including [visual grounding](./visual_grounding.ipynb), and using different vector stores like [Milvus](./rag_milvus.ipynb), [Weaviate](./rag_weaviate.ipynb), or [Qdrant](./retrieval_qdrant.ipynb)
+- examples for ✍️ [serialization](./serialization.ipynb) and ✂️ [chunking](./hybrid_chunking.ipynb), including [user-defined customizations](./advanced_chunking_and_serialization.ipynb)
+- 🖼️ [picture annotations](./pictures_description.ipynb) and [enrichments](./enrich_doclingdocument.py)
+
+👈 ... and there is much more: explore all the examples using the navigation menu on the side
+
+<div class="grid" style="text-align: center">
+    <div class="card">
+        Visual grounding
+        <hr />
+        <img loading="lazy" alt="RAG with visual grounding" src="../assets/visual_grounding.png" height="150px" />
+    </div>
+    <div class="card">
+        Picture annotations
+        <hr />
+        <img loading="lazy" alt="Picture annotation" src="../assets/picture_annotations.png" height="150px" />
+    </div>
+</div>

docs/integrations/index.md

@@ -1,6 +1,19 @@
-Use the navigation on the left to browse through Docling integrations with popular frameworks and tools.
+In this space, you can explore various Docling integrations with leading frameworks and tools!
 
+Here some of our picks to get you started:
 
-<p align="center">
-  <img loading="lazy" alt="Docling" src="../assets/docling_ecosystem.png" width="100%" />
-</p>
+- [🦜️🔗 LangChain](./langchain.md)
+- [༄ Langflow](./langflow.md)
+- [🦙 LlamaIndex](./llamaindex.md)
+- [🌾 Haystack](./haystack.md)
+- [🇨 Crew AI](./crewai.md)
+
+👈 ... and there is much more: explore all integrations using the navigation menu on the side
+
+<div class="grid" style="text-align: center">
+    <div class="card">
+        <img loading="lazy" alt="Part of Docling's ecosystem" src="../assets/docling_ecosystem.png" width="75%" />
+        <hr />
+        A glimpse into Docling's ecosystem
+    </div>
+</div>