diff --git a/examples/notebooks/gen-image-embed.py b/examples/notebooks/gen-image-embed.py
new file mode 100644
index 0000000..11916ef
--- /dev/null
+++ b/examples/notebooks/gen-image-embed.py
@@ -0,0 +1,223 @@
+import marimo
+
+__generated_with = "0.3.12"
+app = marimo.App(width="medium")
+
+
+@app.cell
+def __():
+    import os
+    import json
+    import string
+    import random
+    import base64
+    import marimo as mo
+    import substrate as sb
+
+    api_key = os.environ.get("SUBSTRATE_API_KEY")
+    api_key = api_key or "YOUR_API_KEY"
+    mo.md(f"`{api_key}`")
+    characters = string.ascii_letters
+    random_string = "".join(random.choice(characters) for i in range(3))
+    collection_name = f"image_test_a3"
+    collection_name
+    return (
+        api_key,
+        base64,
+        characters,
+        collection_name,
+        json,
+        mo,
+        os,
+        random,
+        random_string,
+        sb,
+        string,
+    )
+
+
+@app.cell
+def __(api_key, sb):
+    substrate = sb.Substrate(
+        api_key=api_key,
+        backend="v1",
+    )
+    return substrate,
+
+
+@app.cell
+def __(collection_name, mo, sb, substrate):
+    # create the vector store
+    create_vstore = sb.CreateVectorStore(
+        {"model": "clip", "collection_name": collection_name}
+    )
+    create_res = substrate.run(create_vstore)
+    mo.tree(create_res.json)
+    return create_res, create_vstore
+
+
+@app.cell
+def __(mo):
+    prompt = mo.ui.text(
+        placeholder="prompt",
+        value="A bowl of fruit",
+        full_width=True,
+    ).form()
+    prompt
+    return prompt,
+
+
+@app.cell
+def __(collection_name, prompt, sb):
+    image = sb.GenerateImage(
+        {
+            "prompt": prompt.value,
+        }
+    )
+    embed_prompt = sb.EmbedText(
+        {
+            "text": prompt.value,
+            "collection_name": collection_name,
+        }
+    )
+    embed = sb.EmbedImage(
+        {
+            "image_uri": image.future.image_uri,
+            "collection_name": collection_name,
+        }
+    )
+    return embed, embed_prompt, image
+
+
+@app.cell
+def __(embed, embed_prompt, image, mo, substrate):
+    res = substrate.run(image, embed, embed_prompt)
+    mo.tree(res.json)
+    return res,
+
+
+@app.cell
+def __(embed_prompt, res):
+    prompt_doc_id = res.get(embed_prompt).embedding.doc_id
+    print(prompt_doc_id)
+    return prompt_doc_id,
+
+
+@app.cell
+def __(embed, res):
+    image1_doc_id = res.get(embed).embedding.doc_id
+    print(image1_doc_id)
+    return image1_doc_id,
+
+
+@app.cell
+def __(mo):
+    prompt2 = mo.ui.text(
+        placeholder="prompt",
+        value="A bowl of chocolate",
+        full_width=True,
+    ).form()
+    prompt2
+    return prompt2,
+
+
+@app.cell
+def __(collection_name, prompt2, sb):
+    image2 = sb.GenerateImage(
+        {
+            "prompt": prompt2.value,
+        }
+    )
+    embed2 = sb.EmbedImage(
+        {
+            "image_uri": image2.future.image_uri,
+            "collection_name": collection_name,
+        }
+    )
+    return embed2, image2
+
+
+@app.cell
+def __(embed2, image2, mo, substrate):
+    res2 = substrate.run(image2, embed2)
+    mo.tree(res2.json)
+    return res2,
+
+
+@app.cell
+def __(embed2, res2):
+    image2_doc_id = res2.get(embed2).embedding.doc_id
+    print(image2_doc_id)
+    return image2_doc_id,
+
+
+@app.cell
+def __(collection_name, image, res, sb):
+    query = sb.QueryVectorStore(
+        {
+            "model": "clip",
+            "collection_name": collection_name,
+            "query_image_uris": [res.get(image).image_uri],
+            "top_k": 100,
+            "ef_search": 64,
+            # "query_strings": [prompt.value],
+        }
+    )
+    return query,
+
+
+@app.cell
+def __(query, substrate):
+    query_res = substrate.run(query)
+    return query_res,
+
+
+@app.cell
+def __(query, query_res):
+    results = query_res.get(query).results
+    return results,
+
+
+@app.cell
+def __(mo, results):
+    mo.tree(results)
+    return
+
+
+@app.cell
+def __(image2_doc_id, mo, results):
+    image2_distance = None
+    for r in results[0]:
+        if r.id == image2_doc_id:
+            image2_distance = r.distance
+
+    mo.tree(
+        {
+            "image2_distance": image2_distance,
+        }
+    )
+    return image2_distance, r
+
+
+@app.cell
+def __(image, image2, image2_distance, mo, res, res2):
+    mo.hstack(
+        [
+            mo.vstack(
+                [
+                    mo.image(src=res.get(image).image_uri),
+                ]
+            ),
+            mo.vstack(
+                [
+                    mo.image(src=res2.get(image2).image_uri),
+                    mo.md(f"distance: {image2_distance}"),
+                ]
+            ),
+        ]
+    )
+    return
+
+
+if __name__ == "__main__":
+    app.run()