OCR-to-RAG pipeline for life science screenshots

PaddleOCR with preprocessing, scispaCy NER, figure/table detection,
citation extraction, and chunked Markdown output with frontmatter.
Includes watch mode and notebook reprocessing.

src/ocr_pipeline/postprocess/__init__.py

@@ -0,0 +1,17 @@
+from __future__ import annotations
+
+from .chunk import SemanticChunker, TextChunk, chunk_text
+from .clean import CleanResult, clean_text
+from .entities import Entity, SciSpacyNER, extract_entities, summarize_entities
+
+__all__ = [
+    "clean_text",
+    "CleanResult",
+    "chunk_text",
+    "TextChunk",
+    "SemanticChunker",
+    "extract_entities",
+    "summarize_entities",
+    "Entity",
+    "SciSpacyNER",
+]