Build from Source

This guide shows how to build the Live Video Captioning RAG sample application from the source.

Build the Image

1. Ensure you are in the project directory:

   cd edge-ai-suites/metro-ai-suite/live-video-analysis/live-video-captioning-rag
   

2. (Optional) To include third-party copyleft source packages in the built images, export the environment variable before building:

   export COPYLEFT_SOURCES=true
   

3. Export the environment:

   # Configure environment variables. By default, the application uses the CPU device for embedding and LLM.
   # To use GPU, edit `setup_env.sh` and set: DEVICE="GPU"
   # Set LLM_MODEL_ID to your prepared LLM model.
   # Set EMBEDDING_MODEL_NAME to your desired embedding model.
   
   # Source the script to apply the environment.
   source scripts/setup_env.sh
   

4. Build the Docker image:

   docker compose build