diff --git a/docs/examples/backend_xml_rag.ipynb b/docs/examples/backend_xml_rag.ipynb
new file mode 100644
index 00000000..db08f24c
--- /dev/null
+++ b/docs/examples/backend_xml_rag.ipynb
@@ -0,0 +1,18 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Converting US Patents from XML files for a RAG application"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/usage.md b/docs/usage.md
index 9a5b555a..824f0f22 100644
--- a/docs/usage.md
+++ b/docs/usage.md
@@ -24,6 +24,20 @@ docling https://arxiv.org/pdf/2206.01062
 
 To see all available options (export formats etc.) run `docling --help`. More details in the [CLI reference page](./reference/cli.md).
 
+### Supported formats
+
+The document conversion in Docling supports several popular formats, including:
+
+- **PDF** (Portable Document Format): the format developed by Adobe to present documents compatible across application software, hardware, and operating systems.
+- **.docx**, **.xlsx**, **.pptx** (Word, Excel, and PowerPoint): the Open XML formats suppored by Microsof Office.
+- **Markdown**:  a lightweight markup language to add formatting elements to plain text documents.
+- **AsciiDoc**: a plain text markup language for writing technical content.
+- **HTML** (Hypertext Markup Language): the standard markup language for creating web pages.
+- **XHTML** (Extensible Hypertext Markup Language): the XML-based version of HTML.
+- **XML** (Extensible Markup Language): a markup format for storing and transmitting data. Due to its flexibility, Docling requires custom implementations to identify the
+semantics of the data. Currently, Docling supports the parsing of [USPTO](https://www.uspto.gov/patents) patents and [PubMed Central® (PMC)](https://pmc.ncbi.nlm.nih.gov/) articles.
+
+
 ### Advanced options
 
 #### Adjust pipeline features
@@ -126,6 +140,32 @@ result = converter.convert(source)
 You can limit the CPU threads used by Docling by setting the environment variable `OMP_NUM_THREADS` accordingly. The default setting is using 4 CPU threads.
 
 
+#### Use specific backend converters
+
+By default, Docling will try to identify the document format to apply the appropriate conversion backend (see the list of [supported formats](#supported-formats)).
+You can restrict the `DocumentConverter` to a set of allowed document formats, as shown in the [Multi-format conversion](./examples/run_with_formats.py) example.
+Alternatively, you can also use the specific backend that matches your document content. For instance, you can use `HTMLDocumentBackend` for HTML pages:
+
+```python
+import urllib.request
+from io import BytesIO
+from docling.backend.html_backend import HTMLDocumentBackend
+from docling.datamodel.base_models import InputFormat
+from docling.datamodel.document import InputDocument
+
+url = "https://en.wikipedia.org/wiki/Duck"
+text = urllib.request.urlopen(url).read()
+in_doc = InputDocument(
+    path_or_stream=BytesIO(text),
+    format=InputFormat.HTML,
+    backend=HTMLDocumentBackend,
+    filename="duck.html",
+)
+backend = HTMLDocumentBackend(in_doc=in_doc, path_or_stream=BytesIO(text))
+result = backend.convert()
+print(result.export_to_markdown())
+```
+
 ## Chunking
 
 You can chunk a Docling document using a [chunker](concepts/chunking.md), such as a