diff --git a/README.md b/README.md
index 59681b9..7b917e6 100644
--- a/README.md
+++ b/README.md
@@ -104,10 +104,13 @@ cd llamactl
 mkdir -p data/llamacpp data/vllm models
 
 # Build and start llamactl with llama.cpp CUDA backend
-docker-compose up llamactl-llamacpp -d
+docker-compose -f docker/docker-compose.yml up llamactl-llamacpp -d
 
 # Build and start llamactl with vLLM CUDA backend
-docker-compose up llamactl-vllm -d
+docker-compose -f docker/docker-compose.yml up llamactl-vllm -d
+
+# Build from source using multi-stage build
+docker build -f docker/Dockerfile.source -t llamactl:source .
 ```
 
 **Features:** CUDA support, automatic latest release installation, no backend dependencies.
diff --git a/docs/getting-started/installation.md b/docs/getting-started/installation.md
index 96b9fce..f64146f 100644
--- a/docs/getting-started/installation.md
+++ b/docs/getting-started/installation.md
@@ -76,8 +76,9 @@ sudo mv llamactl /usr/local/bin/
 llamactl provides Dockerfiles for creating Docker images with backends pre-installed. The resulting images include the latest llamactl release with the respective backend.
 
 **Available Dockerfiles (CUDA):**
-- **llamactl with llama.cpp CUDA**: `Dockerfile.llamacpp` (based on `ghcr.io/ggml-org/llama.cpp:server-cuda`)
-- **llamactl with vLLM CUDA**: `Dockerfile.vllm` (based on `vllm/vllm-openai:latest`)
+- **llamactl with llama.cpp CUDA**: `docker/Dockerfile.llamacpp` (based on `ghcr.io/ggml-org/llama.cpp:server-cuda`)
+- **llamactl with vLLM CUDA**: `docker/Dockerfile.vllm` (based on `vllm/vllm-openai:latest`)
+- **llamactl built from source**: `docker/Dockerfile.source` (multi-stage build with webui)
 
 **Note:** These Dockerfiles are configured for CUDA. For other platforms (CPU, ROCm, Vulkan, etc.), adapt the base image. For llama.cpp, see available tags at [llama.cpp Docker docs](https://github.com/ggml-org/llama.cpp/blob/master/docs/docker.md). For vLLM, check [vLLM docs](https://docs.vllm.ai/en/v0.6.5/serving/deploying_with_docker.html).
 
@@ -92,10 +93,10 @@ cd llamactl
 mkdir -p data/llamacpp data/vllm models
 
 # Start llamactl with llama.cpp backend
-docker-compose up llamactl-llamacpp -d
+docker-compose -f docker/docker-compose.yml up llamactl-llamacpp -d
 
 # Or start llamactl with vLLM backend
-docker-compose up llamactl-vllm -d
+docker-compose -f docker/docker-compose.yml up llamactl-vllm -d
 ```
 
 Access the dashboard at:
@@ -106,7 +107,7 @@ Access the dashboard at:
 
 **llamactl with llama.cpp CUDA:**
 ```bash
-docker build -f Dockerfile.llamacpp -t llamactl:llamacpp-cuda .
+docker build -f docker/Dockerfile.llamacpp -t llamactl:llamacpp-cuda .
 docker run -d \
   --name llamactl-llamacpp \
   --gpus all \
@@ -117,7 +118,7 @@ docker run -d \
 
 **llamactl with vLLM CUDA:**
 ```bash
-docker build -f Dockerfile.vllm -t llamactl:vllm-cuda .
+docker build -f docker/Dockerfile.vllm -t llamactl:vllm-cuda .
 docker run -d \
   --name llamactl-vllm \
   --gpus all \
@@ -126,6 +127,15 @@ docker run -d \
   llamactl:vllm-cuda
 ```
 
+**llamactl built from source:**
+```bash
+docker build -f docker/Dockerfile.source -t llamactl:source .
+docker run -d \
+  --name llamactl \
+  -p 8080:8080 \
+  llamactl:source
+```
+
 ### Option 3: Build from Source
 
 Requirements: