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Refactor README on different docker version. (#2775)

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### What problem does this PR solve?

1. Use two env files for slim and full docker image.
2. Update README

### Type of change

- [x] Documentation Update
- [x] Refactoring

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
This commit is contained in:
Jin Hai
2024-10-10 15:30:32 +08:00
committed by GitHub
parent 51efecf4b5
commit 6af9d4e5f9
2 changed files with 33 additions and 12 deletions
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38
docker/.env
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@ -1,7 +1,6 @@
# Version of Elastic products
STACK_VERSION=8.11.3
# Port to expose Elasticsearch HTTP API to the host
ES_PORT=1200
@ -13,11 +12,10 @@ KIBANA_PORT=6601
KIBANA_USER=rag_flow
KIBANA_PASSWORD=infini_rag_flow
# Increase or decrease based on the available host memory (in bytes)
# Update according to the available host memory (in bytes)
MEM_LIMIT=8073741824
MYSQL_PASSWORD=infini_rag_flow
MYSQL_PORT=5455
@ -33,21 +31,45 @@ REDIS_PASSWORD=infini_rag_flow
SVR_HTTP_PORT=9380
# the Docker image for the slim version
RAGFLOW_IMAGE=infiniflow/ragflow:dev-slim
# If can't download RAGFlow docker image, try to uncomment either of the following hub.docker.com mirrors:
# 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 can't download models, try to uncomment the following huggingface.co mirror:
# 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
# However, this change is not persistent and will be reset after a system reboot.
# To make the change permanent, you need to update the /etc/sysctl.conf file.
# Add or update the following line in the file:
# 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