diff --git a/src/config.py b/src/config.py
index 24d4484..548209b 100644
--- a/src/config.py
+++ b/src/config.py
@@ -47,6 +47,8 @@ class Settings(BaseSettings):
     request_timeout: int = Field(30)
     request_delay: float = Field(1.0)          # seconds between requests
     min_content_length: int = Field(200)  # chars
+    # Libros/dumps enteros (100k+ palabras) inflan RAM y DB sin aportar al RAG
+    max_content_length: int = Field(300_000)  # chars
 
     # Fuentes opcionales — desactivadas por defecto: la IP del homelab está
     # bloqueada por Reddit (403) y YouTube (transcripts vacíos), eran peso muerto.
diff --git a/src/scraper/exhaustive.py b/src/scraper/exhaustive.py
index 8c124e2..c2b261b 100644
--- a/src/scraper/exhaustive.py
+++ b/src/scraper/exhaustive.py
@@ -628,6 +628,11 @@ class ExhaustiveScraper:
                                         error="Content too short or empty")
             return
 
+        if len(content) > settings.max_content_length:
+            logger.info("Content truncated", source_id=source_id,
+                        original_length=len(content), url=url[:60])
+            content = content[:settings.max_content_length]
+
         word_count = len(content.split())
 
         await self.db.save_source_content(source_id, content)
@@ -819,30 +824,49 @@ class ExhaustiveScraper:
                     entries=len(entries), added=added)
         return added
 
+    # pdfplumber es síncrono y CPU-intensivo: parsear inline congela el event
+    # loop, y con PDFs grandes el pico de RAM puede matar el pod (OOM con
+    # límite de 1-2Gi). Ejecutar SIEMPRE vía run_in_executor.
+
+    @staticmethod
+    def _parse_pdf_sync(path: str) -> str:
+        import pdfplumber
+
+        with pdfplumber.open(path) as pdf:
+            pages = []
+            for page in pdf.pages[:50]:  # max 50 pages
+                pages.append(page.extract_text() or "")
+                page.flush_cache()  # pdfplumber cachea objetos de página: liberar
+            return "\n\n".join(pages)
+
     async def _extract_pdf(self, url: str) -> tuple[Optional[str], Optional[str]]:
         """Download and extract PDF text"""
-        import pdfplumber
         import tempfile
         import os
 
+        max_pdf_bytes = 15 * 1024 * 1024  # varios PDFs concurrentes en RAM: cap agresivo
+
         http = await self._get_http()
         try:
             async with http.get(url) as resp:
                 if resp.status != 200:
                     return None, None
                 content_length = int(resp.headers.get("content-length", 0))
-                if content_length > 50 * 1024 * 1024:  # skip PDFs > 50MB
+                if content_length > max_pdf_bytes:
                     return None, None
                 pdf_bytes = await resp.read()
+                # Sin Content-Length el check anterior no protege
+                if len(pdf_bytes) > max_pdf_bytes:
+                    return None, None
 
             with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as f:
                 f.write(pdf_bytes)
                 tmp_path = f.name
+            del pdf_bytes
 
             try:
-                with pdfplumber.open(tmp_path) as pdf:
-                    pages = [p.extract_text() or "" for p in pdf.pages[:50]]  # max 50 pages
-                    text = "\n\n".join(pages)
+                loop = asyncio.get_running_loop()
+                text = await loop.run_in_executor(None, self._parse_pdf_sync, tmp_path)
                 return text, url.split("/")[-1]
             finally:
                 os.unlink(tmp_path)