add .env

docker/.env

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+# The type of doc engine to use.
+# Available options:
+# - `elasticsearch` (default)
+# - `infinity` (https://github.com/infiniflow/infinity)
+# - `opensearch` (https://github.com/opensearch-project/OpenSearch)
+DOC_ENGINE=opensearch
+
+# ------------------------------
+# 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 hostname where OpenSearch service is exposed, set it not the same as elasticsearch
+OS_PORT=1201
+
+# The hostname where the OpenSearch service is exposed
+OS_HOST=opensearch01
+
+# The password for OpenSearch.
+# At least one uppercase letter, one lowercase letter, one digit, and one special character
+OPENSEARCH_PASSWORD=infini_rag_flow_OS_01
+
+# 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 maximum size of communication packets sent to the MySQL server
+MYSQL_MAX_PACKET=1073741824
+
+# 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 v0.20.5-slim edition, which is the RAGFlow Docker image without embedding models.
+RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5-slim
+#
+# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
+# RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5
+#
+# The Docker image of the v0.20.5 edition includes built-in embedding models:
+#   - BAAI/bge-large-zh-v1.5
+#   - maidalun1020/bce-embedding-base_v1
+#
+
+# 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 limit (in bytes) for each upload to your knowledge base or File Management.
+# To change the 1GB file size limit, uncomment the line below and update as needed.
+# MAX_CONTENT_LENGTH=1073741824
+# After updating, ensure `client_max_body_size` in nginx/nginx.conf is updated accordingly.
+# Note that neither `MAX_CONTENT_LENGTH` nor `client_max_body_size` sets the maximum size for files uploaded to an agent.
+# See https://ragflow.io/docs/dev/begin_component for details.
+
+# Controls how many documents are processed in a single batch.
+# Defaults to 4 if DOC_BULK_SIZE is not explicitly set.
+DOC_BULK_SIZE=4
+
+# Defines the number of items to process per batch when generating embeddings.
+# Defaults to 16 if EMBEDDING_BATCH_SIZE is not set in the environment.
+EMBEDDING_BATCH_SIZE=16
+
+# Log level for the RAGFlow's own and imported packages.
+# Available levels:
+# - `DEBUG`
+# - `INFO` (default)
+# - `WARNING`
+# - `ERROR`
+# For example, the 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
+
+# A user registration switch:
+# - Enable registration: 1
+# - Disable registration: 0
+REGISTER_ENABLED=1
+
+# Sandbox settings
+# Important: To enable sandbox, you must re-declare the compose profiles. See hints at the end of file.
+# Double check if you add `sandbox-executor-manager` to your `/etc/hosts`
+# Pull the required base images before running:
+#   docker pull infiniflow/sandbox-base-nodejs:latest
+#   docker pull infiniflow/sandbox-base-python:latest
+# Our default sandbox environments include:
+#   - Node.js base image: includes axios
+#   - Python base image: includes requests, numpy, and pandas
+# Specify custom executor images below if you're using non-default environments.
+# SANDBOX_ENABLED=1
+# SANDBOX_HOST=sandbox-executor-manager
+# SANDBOX_EXECUTOR_MANAGER_IMAGE=infiniflow/sandbox-executor-manager:latest
+# SANDBOX_EXECUTOR_MANAGER_POOL_SIZE=3
+# SANDBOX_BASE_PYTHON_IMAGE=infiniflow/sandbox-base-python:latest
+# SANDBOX_BASE_NODEJS_IMAGE=infiniflow/sandbox-base-nodejs:latest
+# SANDBOX_EXECUTOR_MANAGER_PORT=9385
+# SANDBOX_ENABLE_SECCOMP=false
+# SANDBOX_MAX_MEMORY=256m # b, k, m, g
+# SANDBOX_TIMEOUT=10s # s, m, 1m30s
+
+# Important: To enable sandbox, you must re-declare the compose profiles.
+# 1. Comment out the COMPOSE_PROFILES line above.
+# 2. Uncomment one of the following based on your chosen document engine:
+#    - For Elasticsearch:
+# COMPOSE_PROFILES=elasticsearch,sandbox
+#    - For Infinity:
+# COMPOSE_PROFILES=infinity,sandbox
+#    - For OpenSearch:
+# COMPOSE_PROFILES=opensearch,sandbox
+
+
+
+POSTGRES_DBNAME=rag_flow
+POSTGRES_USER=rag_flow
+POSTGRES_PASSWORD=infini_rag_flow
+POSTGRES_PORT=5432
+DB_TYPE=postgres