diff --git a/examples/assets/colpali_example.pdf b/examples/assets/colpali_example.pdf
new file mode 100755
index 0000000..36ec07f
Binary files /dev/null and b/examples/assets/colpali_example.pdf differ
diff --git a/examples/colpali.py b/examples/colpali.py
new file mode 100644
index 0000000..627b530
--- /dev/null
+++ b/examples/colpali.py
@@ -0,0 +1,31 @@
+import io
+from databridge import DataBridge
+import os
+from dotenv import load_dotenv
+from PIL import Image
+
+load_dotenv()
+
+## Connect to the DataBridge instance
+
+db = DataBridge(os.getenv("DATABRIDGE_URI_2"), timeout=10000, is_local=True)
+
+
+## Ingestion Pathway
+db.ingest_file("assets/colpali_example.pdf", use_colpali=True)
+
+
+## retrieving sources
+
+chunks = db.retreive_chunks("At what frequency do we achieve the highest Image Rejection Ratio?", use_colpali=True, k=3)
+
+for chunk in chunks:
+    if isinstance(chunk.content, Image.Image):
+        # image chunks will automatically be parsed as PIL.Image.Image objects
+        chunk.content.show()
+    else:
+        print(chunk.content)
+
+# You can also directly query a VLM as defined in `databridge.toml`
+response = db.query("At what frequency do we achieve the highest Image Rejection Ratio?", use_colpali=True, k=3)
+print(response.completion)