diff --git a/Dockerfile b/Dockerfile
index aa6c3d552..88cfc6b93 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,7 +10,7 @@ RUN npm ci
 COPY . .
 RUN npm run build
 
-FROM python:3.11-bookworm as base
+FROM python:3.11-slim-bookworm as base
 
 ENV ENV=prod
 
@@ -28,7 +28,7 @@ WORKDIR /app/backend
 
 COPY ./backend/requirements.txt ./requirements.txt
 RUN pip3 install -r requirements.txt
-RUN python -c "from sentence_transformers import SentenceTransformer; model = SentenceTransformer('all-MiniLM-L6-v2')"
+# RUN python -c "from sentence_transformers import SentenceTransformer; model = SentenceTransformer('all-MiniLM-L6-v2')"
 
 COPY ./backend .
 
diff --git a/backend/apps/rag/main.py b/backend/apps/rag/main.py
index a59aac6cb..f9553a603 100644
--- a/backend/apps/rag/main.py
+++ b/backend/apps/rag/main.py
@@ -11,7 +11,7 @@ from fastapi import (
 from fastapi.middleware.cors import CORSMiddleware
 import os, shutil
 
-from chromadb.utils import embedding_functions
+# from chromadb.utils import embedding_functions
 
 from langchain_community.document_loaders import WebBaseLoader, TextLoader, PyPDFLoader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
@@ -29,9 +29,9 @@ from utils.utils import get_current_user
 from config import UPLOAD_DIR, EMBED_MODEL, CHROMA_CLIENT, CHUNK_SIZE, CHUNK_OVERLAP
 from constants import ERROR_MESSAGES
 
-EMBEDDING_FUNC = embedding_functions.SentenceTransformerEmbeddingFunction(
-    model_name=EMBED_MODEL
-)
+# EMBEDDING_FUNC = embedding_functions.SentenceTransformerEmbeddingFunction(
+#     model_name=EMBED_MODEL
+# )
 
 app = FastAPI()