ragflow/docker/.env

# Version of Elastic products
STACK_VERSION=8.11.3

# Port to expose Elasticsearch HTTP API to the host
ES_PORT=1200

# Set the Elasticsearch password
ELASTIC_PASSWORD=infini_rag_flow

# Port to expose Kibana to the host
KIBANA_PORT=6601
KIBANA_USER=rag_flow
KIBANA_PASSWORD=infini_rag_flow

# Update according to the available host memory (in bytes)

MEM_LIMIT=8073741824

MYSQL_PASSWORD=infini_rag_flow
MYSQL_PORT=5455

# Port to expose minio to the host
MINIO_CONSOLE_PORT=9001
MINIO_PORT=9000

MINIO_USER=rag_flow
MINIO_PASSWORD=infini_rag_flow

REDIS_PORT=6379
REDIS_PASSWORD=infini_rag_flow

SVR_HTTP_PORT=9380

# the Docker image for the slim version
RAGFLOW_IMAGE=infiniflow/ragflow:dev-slim

# If you cannot download the RAGFlow Docker image, try uncommenting either of the following hub.docker.com mirrors:
# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev-slim
# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev-slim

# To download the RAGFlow Docker image with embedding models, modify the line above as follows:
# RAGFLOW_IMAGE=infiniflow/ragflow:dev

# This Docker image includes the following four models:
# - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3
# - maidalun1020/bce-embedding-base_v1
# - maidalun1020/bce-reranker-base_v1

# And the following models will be downloaded if 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, try uncommenting either of the following hub.docker.com mirrors:
# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev
# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev

TIMEZONE='Asia/Shanghai'

# If you cannot download the RAGFlow Docker image, try uncommenting the following huggingface.co mirror:
# HF_ENDPOINT=https://hf-mirror.com

######## OS setup for ES ###########
# sysctl vm.max_map_count
# sudo sysctl -w vm.max_map_count=262144
# Note that this change is not permanent and will be reset after a system reboot.
# To make your change permanent, update /etc/sysctl.conf by:
# Adding or modifying the following line:
# vm.max_map_count=262144