Files
ragflow/docker/.env
liwenju0 1bb990719e Feat: Add user registration toggle feature (#6327)
### What problem does this PR solve?

Feat: Add user registration toggle feature. Added a user registration
toggle REGISTER_ENABLED in the settings and .env config file. The user
creation interface now checks the state of this toggle to control the
enabling and disabling of the user registration feature.

the front-end implementation is done, the registration button does not
appear if registration is not allowed. I did the actual tests on my
local server and it worked smoothly.
### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: wenju.li <wenju.li@deepctr.cn>
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-03-21 09:38:15 +08:00

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# The type of doc engine to use.
# Available options:
# - `elasticsearch` (default)
# - `infinity` (https://github.com/infiniflow/infinity)
DOC_ENGINE=${DOC_ENGINE:-elasticsearch}
# ------------------------------
# docker env var for specifying vector db type at startup
# (based on the vector db type, the corresponding docker
# compose profile will be used)
# ------------------------------
COMPOSE_PROFILES=${DOC_ENGINE}
# The version of Elasticsearch.
STACK_VERSION=8.11.3
# The hostname where the Elasticsearch service is exposed
ES_HOST=es01
# 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=1200
# The password for Elasticsearch.
ELASTIC_PASSWORD=infini_rag_flow
# 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=infini_rag_flow
# The hostname where the MySQL service is exposed
MYSQL_HOST=mysql
# The database of the MySQL service to use
MYSQL_DBNAME=rag_flow
# 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=5455
# The hostname where the MinIO service is exposed
MINIO_HOST=minio
# 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=rag_flow
# The password for MinIO.
# When updated, you must revise the `minio.password` entry in service_conf.yaml accordingly.
MINIO_PASSWORD=infini_rag_flow
# The hostname where the Redis service is exposed
REDIS_HOST=redis
# 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=infini_rag_flow
# 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
# user registration switch
REGISTER_ENABLED=1