feat: fase 1 — top_k 30→80, pool 100→300, sin truncado, max_tokens 16000

src/processor/processor.py

@@ -285,7 +285,7 @@ class ContentProcessor:
         query_embedding = await self.ollama.embed(query)
 
         # Get top quality chunks
-        chunks = await self.db.get_top_chunks(session_id, limit=100)
+        chunks = await self.db.get_top_chunks(session_id, limit=300)
 
         if query_embedding and chunks:
             # Rank by embedding similarity