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?

Bắt đầu bằng cách đọc RetrievalAugmentedGeneration/examples/developer_rag/chains.py và cấu hình rag-app-text-chatbot.yaml được tham chiếu, sau đó chạy phần thiết lập đã được ghi lại để ghi nhận lỗi. Issue không bao gồm thông báo lỗi hoặc kết quả mong đợi, vì vậy không thể xác minh việc hoàn thành cho đến khi bước bị lỗi và hành vi khi thành công được chỉ rõ.