diff --git a/Dockerfile b/Dockerfile
index d86e3ba..b1002fe 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,18 +1,27 @@
 # syntax=docker/dockerfile:1
-
-# Argumenty budowania
+# Initialize device type args
+# use build args in the docker build command with --build-arg="BUILDARG=true"
 ARG USE_CUDA=false
 ARG USE_OLLAMA=false
+# Tested with cu117 for CUDA 11 and cu121 for CUDA 12 (default)
 ARG USE_CUDA_VER=cu121
+# any sentence transformer model; models to use can be found at https://huggingface.co/models?library=sentence-transformers
+# Leaderboard: https://huggingface.co/spaces/mteb/leaderboard 
+# for better performance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB)
+# IMPORTANT: If you change the embedding model (sentence-transformers/all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
 ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
 ARG USE_RERANKING_MODEL=""
+
+# Tiktoken encoding name; models to use can be found at https://huggingface.co/models?library=tiktoken
 ARG USE_TIKTOKEN_ENCODING_NAME="cl100k_base"
+
 ARG BUILD_HASH=dev-build
+# Override at your own risk - non-root configurations are untested
 ARG UID=0
 ARG GID=0
 
-# Etap budowania frontendu
-FROM node:22-alpine3.20 AS build
+######## WebUI frontend ########
+FROM --platform=$BUILDPLATFORM node:22-alpine3.20 AS build
 ARG BUILD_HASH
 
 WORKDIR /app
@@ -24,10 +33,10 @@ COPY . .
 ENV APP_BUILD_HASH=${BUILD_HASH}
 RUN npm run build
 
-# Etap budowania backendu
+######## WebUI backend ########
 FROM python:3.11-slim-bookworm AS base
 
-# Użyj argumentów
+# Use args
 ARG USE_CUDA
 ARG USE_OLLAMA
 ARG USE_CUDA_VER
@@ -36,35 +45,53 @@ ARG USE_RERANKING_MODEL
 ARG UID
 ARG GID
 
-# Ustawienia środowiskowe
+## Basis ##
 ENV ENV=prod \
     PORT=8080 \
+    # pass build args to the build
     USE_OLLAMA_DOCKER=${USE_OLLAMA} \
     USE_CUDA_DOCKER=${USE_CUDA} \
     USE_CUDA_DOCKER_VER=${USE_CUDA_VER} \
     USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL} \
-    USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL} \
-    OLLAMA_BASE_URL="/ollama" \
-    OPENAI_API_BASE_URL="" \
-    OPENAI_API_KEY="" \
+    USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL}
+
+## Basis URL Config ##
+ENV OLLAMA_BASE_URL="/ollama" \
+    OPENAI_API_BASE_URL=""
+
+## API Key and Security Config ##
+ENV OPENAI_API_KEY="" \
     WEBUI_SECRET_KEY="" \
     SCARF_NO_ANALYTICS=true \
     DO_NOT_TRACK=true \
-    ANONYMIZED_TELEMETRY=false \
-    WHISPER_MODEL="base" \
-    WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models" \
-    RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL" \
-    RAG_RERANKING_MODEL="$USE_RERANKING_MODEL" \
-    SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models" \
-    TIKTOKEN_ENCODING_NAME="cl100k_base" \
-    TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken" \
-    HF_HOME="/app/backend/data/cache/embedding/models"
+    ANONYMIZED_TELEMETRY=false
+
+#### Other models #########################################################
+## whisper TTS model settings ##
+ENV WHISPER_MODEL="base" \
+    WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"
+
+## RAG Embedding model settings ##
+ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" \
+    RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER" \
+    SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models"
+
+## Tiktoken model settings ##
+ENV TIKTOKEN_ENCODING_NAME="cl100k_base" \
+    TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken"
+
+## Hugging Face download cache ##
+ENV HF_HOME="/app/backend/data/cache/embedding/models"
+
+## Torch Extensions ##
+# ENV TORCH_EXTENSIONS_DIR="/.cache/torch_extensions"
+
+#### Other models ##########################################################
 
 WORKDIR /app/backend
 
 ENV HOME=/root
-
-# Tworzenie użytkownika i grupy, jeśli nie root
+# Create user and group if not root
 RUN if [ $UID -ne 0 ]; then \
     if [ $GID -ne 0 ]; then \
     addgroup --gid $GID app; \
@@ -75,40 +102,65 @@ RUN if [ $UID -ne 0 ]; then \
 RUN mkdir -p $HOME/.cache/chroma
 RUN echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id
 
-# Upewnij się, że użytkownik ma dostęp do katalogów
+# Make sure the user has access to the app and root directory
 RUN chown -R $UID:$GID /app $HOME
 
-# Instalacja zależności systemowych
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-    git build-essential pandoc gcc netcat-openbsd curl jq \
-    python3-dev ffmpeg libsm6 libxext6 && \
-    if [ "$USE_OLLAMA" = "true" ]; then \
-    curl -fsSL https://ollama.com/install.sh | sh; \
-    fi && \
-    rm -rf /var/lib/apt/lists/*
+RUN if [ "$USE_OLLAMA" = "true" ]; then \
+    apt-get update && \
+    # Install pandoc and netcat
+    apt-get install -y --no-install-recommends git build-essential pandoc netcat-openbsd curl && \
+    apt-get install -y --no-install-recommends gcc python3-dev && \
+    # for RAG OCR
+    apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
+    # install helper tools
+    apt-get install -y --no-install-recommends curl jq && \
+    # install ollama
+    curl -fsSL https://ollama.com/install.sh | sh && \
+    # cleanup
+    rm -rf /var/lib/apt/lists/*; \
+    else \
+    apt-get update && \
+    # Install pandoc, netcat and gcc
+    apt-get install -y --no-install-recommends git build-essential pandoc gcc netcat-openbsd curl jq && \
+    apt-get install -y --no-install-recommends gcc python3-dev && \
+    # for RAG OCR
+    apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
+    # cleanup
+    rm -rf /var/lib/apt/lists/*; \
+    fi
 
-# Instalacja zależności Pythona
+# install python dependencies
 COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
 
 RUN pip3 install uv && \
     if [ "$USE_CUDA" = "true" ]; then \
-    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir; \
-    else \
-    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; \
-    fi && \
+    # If you use CUDA the whisper and embedding model will be downloaded on first use
+    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
     uv pip install --system -r requirements.txt --no-cache-dir && \
     python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
-    python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])" && \
-    python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])" && \
+    python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
+    python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
+    else \
+    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
+    uv pip install --system -r requirements.txt --no-cache-dir && \
+    python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
+    python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
+    python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
+    fi; \
     chown -R $UID:$GID /app/backend/data/
 
-# Kopiowanie plików frontendowych
+
+
+# copy embedding weight from build
+# RUN mkdir -p /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2
+# COPY --from=build /app/onnx /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2/onnx
+
+# copy built frontend files
 COPY --chown=$UID:$GID --from=build /app/build /app/build
 COPY --chown=$UID:$GID --from=build /app/CHANGELOG.md /app/CHANGELOG.md
 COPY --chown=$UID:$GID --from=build /app/package.json /app/package.json
 
-# Kopiowanie plików backendowych
+# copy backend files
 COPY --chown=$UID:$GID ./backend .
 
 EXPOSE 8080
@@ -121,4 +173,4 @@ ARG BUILD_HASH
 ENV WEBUI_BUILD_VERSION=${BUILD_HASH}
 ENV DOCKER=true
 
-CMD [ "bash", "start.sh"]
+CMD [ "bash", "start.sh"]
\ No newline at end of file
diff --git a/Jenkinsfile b/Jenkinsfile
new file mode 100644
index 0000000..1dff220
--- /dev/null
+++ b/Jenkinsfile
@@ -0,0 +1,43 @@
+pipeline {
+    agent any
+
+    environment {
+        DOCKER_IMAGE = 'docker.cloud.pokash.pl/ably-webui'
+        DOCKER_REGISTRY = 'docker.cloud.pokash.pl'
+        GIT_REPO = 'https://repo.pokash.pl/POKASH.PL/ably.do.git'
+        REGISTRY_CREDENTIALS_ID = '2753fc17-5ad1-4c78-b86a-a3e54c543adc' // ID poświadczeń do lokalnego rejestru
+    }
+
+    stages {
+        stage('Checkout') {
+            steps {
+                git url: "${GIT_REPO}", branch: 'main/webui'
+            }
+        }
+
+        stage('Build Docker Image') {
+            steps {
+                script {
+                    docker.build("${DOCKER_IMAGE}:latest")
+                }
+            }
+        }
+
+        stage('Push Docker Image') {
+            steps {
+                script {
+                    // Logowanie do lokalnego rejestru
+                    docker.withRegistry("http://${DOCKER_REGISTRY}", "${REGISTRY_CREDENTIALS_ID}") {
+                        docker.image("${DOCKER_IMAGE}:latest").push('latest')
+                    }
+                }
+            }
+        }
+    }
+
+    post {
+        always {
+            cleanWs() // Czyści workspace po zakończeniu builda
+        }
+    }
+}
\ No newline at end of file