When I run /RetrievalAugmentedGeneration/examples/developer_rag/chains.py

My setting about rag-app-text-chatbot.yaml is services:
jupyter-server:
container_name: notebook-server
image: notebook-server:${TAG:-latest}
build:
context: ../../
dockerfile: ./notebooks/Dockerfile.notebooks # replace GPU enabled Dockerfile ./notebooks/Dockerfile.gpu_notebook
ports:
- "8888:8888"
expose:
- "8888"
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]

chain-server:
container_name: chain-server
image: chain-server:${TAG:-latest}
build:
context: ../../
dockerfile: ./RetrievalAugmentedGeneration/Dockerfile
args:
EXAMPLE_NAME: developer_rag
command: --port 8081 --host 0.0.0.0
environment:
APP_VECTORSTORE_URL: "http://milvus:19530"
APP_VECTORSTORE_NAME: "milvus"
APP_EMBEDDINGS_MODELNAME: ${APP_EMBEDDINGS_MODELNAME:-G:/jjx/moxing/snowflake-arctic-embed-l}
APP_EMBEDDINGS_MODELENGINE: ${APP_EMBEDDINGS_MODELENGINE:-local}
APP_EMBEDDINGS_SERVERURL: ${APP_EMBEDDINGS_SERVERURL:-""}
APP_LLM_SERVERURL: ${APP_LLM_SERVERURL:-""}
APP_LLM_MODELNAME: ${APP_LLM_MODELNAME:-"G:/jjx/moxing/llama-2-13b-chat-hf"}
APP_LLM_MODELENGINE: ${APP_LLM_MODELENGINE:-local}
NVIDIA_API_KEY: ${NVIDIA_API_KEY}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-password}
POSTGRES_USER: ${POSTGRES_USER:-postgres}
POSTGRES_DB: ${POSTGRES_DB:-api}
COLLECTION_NAME: ${COLLECTION_NAME:-developer_rag}
APP_RETRIEVER_TOPK: 4
APP_RETRIEVER_SCORETHRESHOLD: 0.25
OTEL_EXPORTER_OTLP_ENDPOINT: http://otel-collector:4317
OTEL_EXPORTER_OTLP_PROTOCOL: grpc
ENABLE_TRACING: false
APP_TEXTSPLITTER_MODELNAME: Snowflake/snowflake-arctic-embed-l
APP_TEXTSPLITTER_CHUNKSIZE: 506
APP_TEXTSPLITTER_CHUNKOVERLAP: 200
LOGLEVEL: ${LOGLEVEL:-INFO}
ports:
- "8081:8081"
expose:
- "8081"
shm_size: 5gb
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]

rag-playground:
container_name: rag-playground
image: rag-playground:${TAG:-latest}
build:
context: ../.././RetrievalAugmentedGeneration/frontend/
dockerfile: Dockerfile
command: --port 8090
environment:
APP_SERVERURL: http://chain-server
APP_SERVERPORT: 8081
APP_MODELNAME: ${APP_LLM_MODELNAME:-"meta/llama3-8b-instruct"}
OTEL_EXPORTER_OTLP_ENDPOINT: http://otel-collector:4317
OTEL_EXPORTER_OTLP_PROTOCOL: grpc
ENABLE_TRACING: false
RIVA_API_URI: ${RIVA_API_URI:-}
RIVA_API_KEY: ${RIVA_API_KEY:-}
RIVA_FUNCTION_ID: ${RIVA_FUNCTION_ID:-}
TTS_SAMPLE_RATE: ${TTS_SAMPLE_RATE:-48000}
ports:
- "8090:8090"
expose:
- "8090"
depends_on:
- chain-server

networks:
default:
name: nvidia-rag
What should I do?

まず RetrievalAugmentedGeneration/examples/developer_rag/chains.py と、参照されている設定 rag-app-text-chatbot.yaml を読み、その後、失敗を記録するために文書化されたセットアップを実行してください。issue にはエラーメッセージも期待される結果も含まれていないため、失敗するステップと成功時の動作が指定されるまで完了を検証できません。