RAGFlow 配置

ragflow:
  host: 0.0.0.0
  http_port: 9380
mysql:
  name: 'yd-ragflow'
  user: 'ragflow'
  password: '7ZhgynIM23jHFg94'
  host: '10.21.110.100'
  port: 3306
  max_connections: 100
  stale_timeout: 30
minio:
  user: 'minioadmin'
  password: 'SM0nvKnPHInViLV6'
  host: '10.21.110.100:9000'
es:
  hosts: 'http://10.21.110.100:9200'
  username: 'elastic'
  password: 'sjxnpEF6WHg4gPYm'
infinity:
  uri: 'localhost:23817'
  db_name: 'default_db'
redis:
  db: 1
  password: 'ydy123451'
  host: '10.21.110.100:6379'

# The type of doc engine to use.
# Available options:
# - `elasticsearch` (default) 
# - `infinity` (https://github.com/infiniflow/infinity)
DOC_ENGINE=${DOC_ENGINE:-elasticsearch}

SERVER_BASE_HOST=10.21.110.100
# ------------------------------
# docker env var for specifying vector db type at startup
# (based on the vector db type, the corresponding docker
# compose profile will be used)
# ------------------------------
COMPOSE_PROFILES=${DOC_ENGINE}

# The version of Elasticsearch.
STACK_VERSION=8.12.2

# The hostname where the Elasticsearch service is exposed
ES_HOST=${SERVER_BASE_HOST}

# The port used to expose the Elasticsearch service to the host machine, 
# allowing EXTERNAL access to the service running inside the Docker container.
ES_PORT=9200

# The password for Elasticsearch. 
ELASTIC_PASSWORD=sjxnpEF6WHg4gPYm

# The port used to expose the Kibana service to the host machine, 
# allowing EXTERNAL access to the service running inside the Docker container.
KIBANA_PORT=6601
KIBANA_USER=rag_flow
KIBANA_PASSWORD=infini_rag_flow

# The maximum amount of the memory, in bytes, that a specific Docker container can use while running.
# Update it according to the available memory in the host machine.
MEM_LIMIT=8073741824

# The hostname where the Infinity service is exposed
INFINITY_HOST=infinity

# Port to expose Infinity API to the host
INFINITY_THRIFT_PORT=23817
INFINITY_HTTP_PORT=23820
INFINITY_PSQL_PORT=5432

# The password for MySQL. 
MYSQL_PASSWORD=7ZhgynIM23jHFg94
MYSQL_USER=ragflow
# The hostname where the MySQL service is exposed
MYSQL_HOST=${SERVER_BASE_HOST}
# The database of the MySQL service to use
MYSQL_DBNAME=yd-ragflow
# The port used to expose the MySQL service to the host machine, 
# allowing EXTERNAL access to the MySQL database running inside the Docker container. 
MYSQL_PORT=3306

# The hostname where the MinIO service is exposed
MINIO_HOST=${SERVER_BASE_HOST}
# The port used to expose the MinIO console interface to the host machine, 
# allowing EXTERNAL access to the web-based console running inside the Docker container. 
MINIO_CONSOLE_PORT=9001
# The port used to expose the MinIO API service to the host machine, 
# allowing EXTERNAL access to the MinIO object storage service running inside the Docker container. 
MINIO_PORT=9000
# The username for MinIO. 
# When updated, you must revise the `minio.user` entry in service_conf.yaml accordingly.
MINIO_USER=minioadmin
# The password for MinIO. 
# When updated, you must revise the `minio.password` entry in service_conf.yaml accordingly.
MINIO_PASSWORD=SM0nvKnPHInViLV6

# The hostname where the Redis service is exposed
REDIS_HOST=${SERVER_BASE_HOST}
# The port used to expose the Redis service to the host machine, 
# allowing EXTERNAL access to the Redis service running inside the Docker container.
REDIS_PORT=6379
# The password for Redis.
REDIS_PASSWORD=ydy123451

# The port used to expose RAGFlow's HTTP API service to the host machine, 
# allowing EXTERNAL access to the service running inside the Docker container.
SVR_HTTP_PORT=9380

# The RAGFlow Docker image to download.
# Defaults to the v0.17.2-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2
# 
# The Docker image of the v0.17.2 edition includes:
# - Built-in embedding models:
#   - BAAI/bge-large-zh-v1.5
#   - BAAI/bge-reranker-v2-m3
#   - maidalun1020/bce-embedding-base_v1
#   - maidalun1020/bce-reranker-base_v1
# - Embedding models that will be downloaded once you select them in the RAGFlow UI:
#   - BAAI/bge-base-en-v1.5
#   - BAAI/bge-large-en-v1.5
#   - BAAI/bge-small-en-v1.5
#   - BAAI/bge-small-zh-v1.5
#   - jinaai/jina-embeddings-v2-base-en
#   - jinaai/jina-embeddings-v2-small-en
#   - nomic-ai/nomic-embed-text-v1.5
#   - sentence-transformers/all-MiniLM-L6-v2
#
# 


# If you cannot download the RAGFlow Docker image:
#
# - For the `nightly-slim` edition, uncomment either of the following:
# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly-slim
# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly-slim
#
# - For the `nightly` edition, uncomment either of the following:
# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly
# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly

# The local time zone.
TIMEZONE='Asia/Shanghai'

# Uncomment the following line if you have limited access to huggingface.co:
# HF_ENDPOINT=https://hf-mirror.com

# Optimizations for MacOS
# Uncomment the following line if your operating system is MacOS:
# MACOS=1

# The maximum file size for each uploaded file, in bytes.
# To change the 1GB file size limit, uncomment the following line and make your changes accordingly.
# MAX_CONTENT_LENGTH=1073741824
# After the change, ensure you update `client_max_body_size` in nginx/nginx.conf correspondingly.

# The log level for the RAGFlow's owned packages and imported packages.
# Available level:
# - `DEBUG`
# - `INFO` (default)
# - `WARNING`
# - `ERROR`
# For example, following line changes the log level of `ragflow.es_conn` to `DEBUG`:
# LOG_LEVELS=ragflow.es_conn=DEBUG

# aliyun OSS configuration
# STORAGE_IMPL=OSS
# ACCESS_KEY=xxx
# SECRET_KEY=eee
# ENDPOINT=http://oss-cn-hangzhou.aliyuncs.com
# REGION=cn-hangzhou
# BUCKET=ragflow65536