diff --git a/src/logsqueak/tui/app.py b/src/logsqueak/tui/app.py
index 25b2a22..e2a9875 100644
--- a/src/logsqueak/tui/app.py
+++ b/src/logsqueak/tui/app.py
@@ -505,6 +505,7 @@ def transition_to_phase2(self, selected_blocks: List[BlockState]) -> None:
             graph_paths=graph_paths,
             llm_client=self.llm_client,
             rag_search=self.rag_search,
+            config=self.config,
             auto_start_workers=True,
             name="phase2",
         )
diff --git a/src/logsqueak/tui/screens/content_editing.py b/src/logsqueak/tui/screens/content_editing.py
index 0f1d711..b4531f0 100644
--- a/src/logsqueak/tui/screens/content_editing.py
+++ b/src/logsqueak/tui/screens/content_editing.py
@@ -4,7 +4,7 @@
 Users can see LLM-suggested rewordings, manually edit content, and review RAG search results.
 """
 
-from typing import Optional, Dict
+from typing import Optional, Dict, Any
 import asyncio
 from textual.app import ComposeResult
 from textual.screen import Screen
@@ -122,6 +122,7 @@ def __init__(
         graph_paths: GraphPaths,
         llm_client: Optional[LLMClient] = None,
         rag_search: Optional[RAGSearch] = None,
+        config: Optional[Any] = None,
         auto_start_workers: bool = True,
         **kwargs
     ):
@@ -134,6 +135,7 @@ def __init__(
             graph_paths: GraphPaths instance for loading page contents
             llm_client: LLM client instance (None for testing)
             rag_search: RAG search service instance (None for testing)
+            config: Application config (for RAG top_k, etc.)
             auto_start_workers: Whether to auto-start background workers (default True)
         """
         super().__init__(**kwargs)
@@ -143,6 +145,7 @@ def __init__(
         self.graph_paths = graph_paths
         self.llm_client = llm_client
         self.rag_search = rag_search
+        self.config = config
         self.auto_start_workers = auto_start_workers
 
         # Map block_id to EditedContent for quick lookup
@@ -894,11 +897,15 @@ async def _rag_search_worker(self) -> None:
             }
 
             # Find candidate chunks (returns hierarchical chunks + frontmatter from ChromaDB)
+            top_k = 10  # Default fallback for tests
+            if self.config and hasattr(self.config, 'rag') and hasattr(self.config.rag, 'top_k'):
+                top_k = self.config.rag.top_k
+
             rag_results = await self.rag_search.find_candidates(
                 edited_content=self.edited_content,
                 original_contexts=original_contexts,
                 graph_paths=self.graph_paths,
-                top_k=10  # TODO: Get from config
+                top_k=top_k
             )
 
             # Unpack results: chunks per block and page frontmatter
diff --git a/tests/ui/test_phase2_rag_blocking.py b/tests/ui/test_phase2_rag_blocking.py
index 33fd067..77fab61 100644
--- a/tests/ui/test_phase2_rag_blocking.py
+++ b/tests/ui/test_phase2_rag_blocking.py
@@ -327,3 +327,40 @@ async def test_rag_search_error_shows_message(sample_blocks, sample_edited_conte
         # Error message should be displayed
         assert screen.rag_search_state == BackgroundTaskState.FAILED
         assert screen.rag_search_error is not None
+
+
+def test_rag_config_top_k_extraction():
+    """Test that top_k is correctly extracted from config."""
+    from logsqueak.models.config import Config, LogseqConfig, LLMConfig, RAGConfig
+    from pathlib import Path
+    import tempfile
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        # Create config with custom top_k
+        config = Config(
+            logseq=LogseqConfig(graph_path=tmpdir),
+            llm=LLMConfig(endpoint="http://fake", model="fake", api_key="fake"),
+            rag=RAGConfig(top_k=25)
+        )
+
+        # Verify the config has the right value
+        assert config.rag.top_k == 25
+
+        # Simulate the extraction logic used in _rag_search_worker
+        top_k = 10  # Default fallback
+        if config and hasattr(config, 'rag') and hasattr(config.rag, 'top_k'):
+            top_k = config.rag.top_k
+
+        assert top_k == 25
+
+
+def test_rag_default_top_k_without_config():
+    """Test that top_k defaults to 10 when config not provided."""
+    config = None
+
+    # Simulate the extraction logic used in _rag_search_worker
+    top_k = 10  # Default fallback
+    if config and hasattr(config, 'rag') and hasattr(config.rag, 'top_k'):
+        top_k = config.rag.top_k
+
+    assert top_k == 10