diff --git a/docker/main/requirements-wheels-nodeps.txt b/docker/main/requirements-wheels-nodeps.txt
index 62bca937b..bead6ca66 100644
--- a/docker/main/requirements-wheels-nodeps.txt
+++ b/docker/main/requirements-wheels-nodeps.txt
@@ -1,3 +1,32 @@
 # Embeddings
 chromadb == 0.5.0
 onnx_clip == 4.0.*
+
+# chromadb dependencies
+bcrypt>=4.0.1
+chroma-hnswlib==0.7.6
+fastapi>=0.95.2
+graphlib_backport==1.0.3; python_version < '3.9'
+grpcio>=1.58.0
+httpx>=0.27.0
+importlib-resources
+kubernetes>=28.1.0
+mmh3>=4.0.1
+numpy>=1.22.5, <2.0.0
+opentelemetry-api>=1.2.0
+opentelemetry-exporter-otlp-proto-grpc>=1.24.0
+opentelemetry-instrumentation-fastapi>=0.41b0
+opentelemetry-sdk>=1.2.0
+orjson>=3.9.12, < 3.10.6 # 3.10.7 is currently missing a wheel for x86 glibc
+overrides>=7.3.1
+posthog>=2.4.0
+pydantic>=1.9
+pypika>=0.48.9
+PyYAML>=6.0.0
+rich>=10.11.0
+tenacity>=8.2.3
+tokenizers>=0.13.2
+tqdm>=4.65.0
+typer>=0.9.0
+typing_extensions>=4.5.0
+uvicorn[standard]>=0.18.3
diff --git a/frigate/embeddings/embeddings.py b/frigate/embeddings/embeddings.py
index 998738d50..8179de15e 100644
--- a/frigate/embeddings/embeddings.py
+++ b/frigate/embeddings/embeddings.py
@@ -85,7 +85,10 @@ class Embeddings:
     @property
     def description(self) -> Collection:
         return self.client.get_or_create_collection(
-            name="event_description", embedding_function=MiniLMEmbedding()
+            name="event_description",
+            embedding_function=MiniLMEmbedding(
+                preferred_providers=["CPUExecutionProvider"]
+            ),
         )
 
     def reindex(self) -> None:
diff --git a/frigate/embeddings/functions/clip.py b/frigate/embeddings/functions/clip.py
index 16d020cf0..6e44033df 100644
--- a/frigate/embeddings/functions/clip.py
+++ b/frigate/embeddings/functions/clip.py
@@ -69,7 +69,9 @@ class Clip(OnnxClip):
 
         try:
             if os.path.exists(path):
-                return ort.InferenceSession(path, providers=providers, options=options)
+                return ort.InferenceSession(
+                    path, providers=providers, provider_options=options
+                )
             else:
                 raise FileNotFoundError(
                     errno.ENOENT,
@@ -101,7 +103,7 @@ class Clip(OnnxClip):
             # Finally move the temporary file to the correct location
             temporary_filename.rename(path)
             return ort.InferenceSession(
-                path, providers=provider, provider_options=optionsm
+                path, providers=provider, provider_options=options
             )