Feat: Add knowledge compilation workflows (#16515)

## Summary
- Add knowledge compilation template APIs, services, and builtin
template seed data
- Add advanced knowledge compile structure/artifact/RAPTOR workflow
support
- Update parsing, dataset/document APIs, and supporting services for
compilation workflows

deepdoc/parser/pdf_parser.py

@@ -701,11 +701,11 @@ class RAGFlowPdfParser:
             logging.info(f"Added {added} OCR results from rotated table {table_index}")
 
     def __ocr(self, pagenum, img, chars, ZM=3, device_id: int | None = None):
-        start = timer()
+        # start = timer()
         bxs = self.ocr.detect(np.array(img), device_id)
-        logging.info(f"__ocr detecting boxes of an image cost ({timer() - start}s)")
+        # logging.info(f"__ocr detecting boxes of an image cost ({timer() - start}s)")
 
-        start = timer()
+        # start = timer()
         if not bxs:
             self.boxes.append([])
             return
@@ -771,8 +771,8 @@ class RAGFlowPdfParser:
                 )
                 b["text"] = ""
 
-        logging.info(f"__ocr sorting {len(chars)} chars cost {timer() - start}s")
-        start = timer()
+        # logging.info(f"__ocr sorting {len(chars)} chars cost {timer() - start}s")
+        # start = timer()
         boxes_to_reg = []
         img_np = None
         for b in bxs:
@@ -787,7 +787,7 @@ class RAGFlowPdfParser:
         for i in range(len(boxes_to_reg)):
             boxes_to_reg[i]["text"] = texts[i]
             del boxes_to_reg[i]["box_image"]
-        logging.info(f"__ocr recognize {len(bxs)} boxes cost {timer() - start}s")
+        # logging.info(f"__ocr recognize {len(bxs)} boxes cost {timer() - start}s")
         bxs = [b for b in bxs if b["text"]]
         if self.mean_height[pagenum - 1] == 0:
             self.mean_height[pagenum - 1] = np.median([b["bottom"] - b["top"] for b in bxs])