From 71bb017074e39aab7f0463366c2d1fad09489cee Mon Sep 17 00:00:00 2001
From: Linghua Jin <linghua@cocoindex.io>
Date: Thu, 24 Jul 2025 09:59:14 -0700
Subject: [PATCH 1/2] use qdrant for face recognition example - make it easier
 to reference with other image search examples using same vector db

---
 examples/face_recognition/README.md |  7 ++++++-
 examples/face_recognition/main.py   | 15 ++++++++++-----
 2 files changed, 16 insertions(+), 6 deletions(-)

diff --git a/examples/face_recognition/README.md b/examples/face_recognition/README.md
index 5d313dd42..9a31512eb 100644
--- a/examples/face_recognition/README.md
+++ b/examples/face_recognition/README.md
@@ -21,7 +21,12 @@ We appreciate a star ⭐ at [CocoIndex Github](https://github.com/cocoindex-io/c
 
 1.  [Install Postgres](https://cocoindex.io/docs/getting_started/installation#-install-postgres) if you don't have one.
 
-2.  dependencies:
+2.  Install Qdrant
+    ```bash
+    docker run -d -p 6334:6334 -p 6333:6333 qdrant/qdrant
+    ```
+
+3.  Install dependencies:
 
     ```bash
     pip install -e .
diff --git a/examples/face_recognition/main.py b/examples/face_recognition/main.py
index d7f04840b..ed1420a18 100644
--- a/examples/face_recognition/main.py
+++ b/examples/face_recognition/main.py
@@ -2,12 +2,14 @@
 import io
 import dataclasses
 import datetime
-import typing
+import os
 
 import face_recognition
 from PIL import Image
 import numpy as np
 
+QDRANT_URL = os.getenv("QDRANT_URL", "http://localhost:6334/")
+QDRANT_COLLECTION = "face_embeddings"
 
 @dataclasses.dataclass
 class ImageRect:
@@ -90,7 +92,7 @@ def face_recognition_flow(
     flow_builder: cocoindex.FlowBuilder, data_scope: cocoindex.DataScope
 ) -> None:
     """
-    Define an example flow that embeds files into a vector database.
+    Define an example flow that embeds files into Qdrant vector database.
     """
     data_scope["images"] = flow_builder.add_source(
         cocoindex.sources.LocalFile(path="images", binary=True),
@@ -108,13 +110,16 @@ def face_recognition_flow(
 
             # Collect embeddings
             face_embeddings.collect(
+                id=cocoindex.GeneratedField.UUID,
                 filename=image["filename"],
                 rect=face["rect"],
                 embedding=face["embedding"],
             )
 
     face_embeddings.export(
-        "face_embeddings",
-        cocoindex.targets.Postgres(),
-        primary_key_fields=["filename", "rect"],
+        QDRANT_COLLECTION,
+        cocoindex.targets.Qdrant(
+            collection_name=QDRANT_COLLECTION
+        ),
+        primary_key_fields=["id"],
     )

From 164eb93e85e8216c8aa987a2bb7ef02b4d447b44 Mon Sep 17 00:00:00 2001
From: Linghua Jin <linghua@cocoindex.io>
Date: Thu, 24 Jul 2025 12:18:38 -0700
Subject: [PATCH 2/2] format

---
 examples/face_recognition/main.py | 9 ++++-----
 src/llm/vertex_ai.rs              | 1 -
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/examples/face_recognition/main.py b/examples/face_recognition/main.py
index ed1420a18..caf9b88c7 100644
--- a/examples/face_recognition/main.py
+++ b/examples/face_recognition/main.py
@@ -1,16 +1,17 @@
 import cocoindex
-import io
 import dataclasses
 import datetime
+import io
 import os
 
 import face_recognition
-from PIL import Image
 import numpy as np
+from PIL import Image
 
 QDRANT_URL = os.getenv("QDRANT_URL", "http://localhost:6334/")
 QDRANT_COLLECTION = "face_embeddings"
 
+
 @dataclasses.dataclass
 class ImageRect:
     min_x: int
@@ -118,8 +119,6 @@ def face_recognition_flow(
 
     face_embeddings.export(
         QDRANT_COLLECTION,
-        cocoindex.targets.Qdrant(
-            collection_name=QDRANT_COLLECTION
-        ),
+        cocoindex.targets.Qdrant(collection_name=QDRANT_COLLECTION),
         primary_key_fields=["id"],
     )
diff --git a/src/llm/vertex_ai.rs b/src/llm/vertex_ai.rs
index 8b1378917..e69de29bb 100644
--- a/src/llm/vertex_ai.rs
+++ b/src/llm/vertex_ai.rs
@@ -1 +0,0 @@
-