Feat: Pipeline Docx file supports Markdown output (#10439)

### What problem does this PR solve?

Pipeline Docx file supports Markdown output.

<img width="1242" height="755" alt="image"
src="https://github.com/user-attachments/assets/63cca75b-20b9-4a90-a01c-c0c2fccf1f2a"
/>

<img width="1227" height="717" alt="image"
src="https://github.com/user-attachments/assets/0dcb94b2-7ba0-48d5-9231-dc6e5c4b4192"
/>


### Type of change

- [x] New Feature (non-breaking change which adds functionality)

rag/app/naive.py

@@ -256,6 +256,49 @@ class Docx(DocxParser):
             tbls.append(((None, html), ""))
         return new_line, tbls
 
+    def to_markdown(self, filename=None, binary=None, inline_images: bool = True):
+        """
+        This function uses mammoth, licensed under the BSD 2-Clause License.
+        """
+
+        import base64
+        import uuid
+
+        import mammoth
+        from markdownify import markdownify
+
+        docx_file = BytesIO(binary) if binary else open(filename, "rb")
+
+        def _convert_image_to_base64(image):
+            try:
+                with image.open() as image_file:
+                    image_bytes = image_file.read()
+                encoded = base64.b64encode(image_bytes).decode("utf-8")
+                base64_url = f"data:{image.content_type};base64,{encoded}"
+
+                alt_name = "image"
+                alt_name = f"img_{uuid.uuid4().hex[:8]}"
+
+                return {"src": base64_url, "alt": alt_name}
+            except Exception as e:
+                logging.warning(f"Failed to convert image to base64: {e}")
+                return {"src": "", "alt": "image"}
+
+        try:
+            if inline_images:
+                result = mammoth.convert_to_html(docx_file, convert_image=mammoth.images.img_element(_convert_image_to_base64))
+            else:
+                result = mammoth.convert_to_html(docx_file)
+
+            html = result.value
+
+            markdown_text = markdownify(html)
+            return markdown_text
+
+        finally:
+            if not binary:
+                docx_file.close()
+
 
 class Pdf(PdfParser):
     def __init__(self):
@@ -512,7 +555,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
             callback(0.2, "Visual model detected. Attempting to enhance figure extraction...")
         except Exception:
             vision_model = None
-        
+
         if vision_model:
             # Process images for each section
             section_images = []