diff --git a/chunker.py b/chunker.py
index 3cedceb..ced3b4f 100644
--- a/chunker.py
+++ b/chunker.py
@@ -3,13 +3,19 @@ Chunking utilities for the RAG agent.
 
 Uses RecursiveCharacterTextSplitter from LangChain with chunk_size=500 and overlap=100.
 """
+import os
+from pathlib import Path
+from typing import List
 
 from langchain_text_splitters import RecursiveCharacterTextSplitter
 
-# Global splitter instance
-splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=100)
+# Default splitter configuration
+CHUNK_SIZE = 500
+OVERLAP = 100
 
-def split_text(text: str) -> list[str]:
+splitter = RecursiveCharacterTextSplitter(chunk_size=CHUNK_SIZE, chunk_overlap=OVERLAP)
+
+def split_text(text: str) -> List[str]:
     """Split a large string into chunks.
 
     Parameters
@@ -24,8 +30,17 @@ def split_text(text: str) -> list[str]:
     """
     return splitter.split_text(text)
 
-# Example usage (not executed in tests)
-if __name__ == "__main__":  # pragma: no cover
-    sample = "\n".join([f"Line {i}" for i in range(1000)])
-    chunks = split_text(sample)
-    print(f"Generated {len(chunks)} chunks")
+# Helper to read all files from a directory and split them
+
+def load_and_split(directory: Path) -> List[tuple]:
+    """Load text files from *directory* and split into chunks.
+
+    Returns a list of tuples (chunk, metadata).
+    Metadata contains the source file path.
+    """
+    chunks = []
+    for file_path in directory.rglob("*.txt"):
+        content = file_path.read_text(encoding="utf-8")
+        for chunk in split_text(content):
+            chunks.append((chunk, {"source": str(file_path)}))
+    return chunks