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Docs: Update version references to v1.0.0-rc2 in READMEs and docs (#21069)

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Liu An authored and GitHub committed 2026-10-16 17:43:04 +08:00
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README.md
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@@ -196,10 +196,10 @@ Local deployment supports both Docker deployment and launching from source. Dock
cd ragflow/docker
```
Check out the `v1.0.0-rc1` release tag.
Check out the `v1.0.0-rc2` release tag.
```bash
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
```
Start the RAGFlow services and their dependencies.
README_ar.md
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@@ -176,7 +176,7 @@
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_fr.md
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@@ -173,7 +173,7 @@ Le déploiement local prend en charge Docker et le lancement depuis les sources.
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_id.md
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@@ -173,7 +173,7 @@ Deployment lokal mendukung Docker dan menjalankan dari sumber. Docker cocok untu
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_ja.md
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@@ -187,7 +187,7 @@ Docker は迅速な評価、統合テスト、本番環境に、ソース起動
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_ko.md
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@@ -187,7 +187,7 @@ Docker는 빠른 평가, 통합 테스트 및 프로덕션에 적합하고 소
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_pt_br.md
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@@ -178,7 +178,7 @@ O Docker é indicado para avaliação rápida, testes de integração e produç
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_ru.md
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@@ -184,7 +184,7 @@ Docker подходит для быстрой оценки, интеграцио
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_tr.md
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@@ -187,7 +187,7 @@ Docker hızlı değerlendirme, entegrasyon testi ve üretim; kaynak kod ise geli
```bash
cd ragflow/docker
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
```
README_tzh.md
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@@ -198,10 +198,10 @@
cd ragflow/docker
```
切換到 `v1.0.0-rc1` 發佈標籤。
切換到 `v1.0.0-rc2` 發佈標籤。
```bash
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
```
在啓動 RAGFlow 服務及其依賴服務。
@@ -210,10 +210,10 @@
docker compose -f docker-compose.yml up -d
```
> 💡 **鏡像下載提示：** 如果無法從默認倉庫拉取鏡像，請先在 `docker/.env` 中將 `RAGFLOW_IMAGE` 設置為以下鏡像源之一，並保留 `v1.0.0-rc1` 標籤：
> 💡 **鏡像下載提示：** 如果無法從默認倉庫拉取鏡像，請先在 `docker/.env` 中將 `RAGFLOW_IMAGE` 設置為以下鏡像源之一，並保留 `v1.0.0-rc2` 標籤：
>
> - 華為雲：`swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc1`
> - 阿里雲：`registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc1`
> - 華為雲：`swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc2`
> - 阿里雲：`registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc2`
默認 MySQL 配置下，鏡像入口會先執行數據庫遷移，再啓動 Admin、Syncer、Ingestor 和 API 等服務。
README_zh.md
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@@ -198,10 +198,10 @@
cd ragflow/docker
```
切换到 `v1.0.0-rc1` 发布标签。
切换到 `v1.0.0-rc2` 发布标签。
```bash
git checkout v1.0.0-rc1
git checkout v1.0.0-rc2
```
在启动 RAGFlow 服务及其依赖服务。
@@ -210,10 +210,10 @@
docker compose -f docker-compose.yml up -d
```
> 💡 **镜像下载提示：** 如果无法从默认仓库拉取镜像，请先在 `docker/.env` 中将 `RAGFLOW_IMAGE` 设置为以下镜像源之一，并保留 `v1.0.0-rc1` 标签：
> 💡 **镜像下载提示：** 如果无法从默认仓库拉取镜像，请先在 `docker/.env` 中将 `RAGFLOW_IMAGE` 设置为以下镜像源之一，并保留 `v1.0.0-rc2` 标签：
>
> - 华为云：`swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc1`
> - 阿里云：`registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc1`
> - 华为云：`swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc2`
> - 阿里云：`registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc2`
默认 MySQL 配置下，镜像入口会先执行数据库迁移，再启动 Admin、Syncer、Ingestor 和 API 等服务。
docker/.env
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@@ -310,11 +310,11 @@ ADMIN_DEFAULT_PASSWORD=admin
ALLOW_ANY_HOST=0
# The RAGFlow Docker image to download. v0.22+ doesn't include embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc1
RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc2
# If you cannot download the RAGFlow Docker image:
# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc1
# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc1
# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc2
# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc2
#
# - For the `nightly` edition, uncomment either of the following:
# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly
docker/README.md
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@@ -30,8 +30,8 @@ Run the Go release deployment from the repository checkout:
```bash
# Enter the Docker deployment directory.
cd ragflow/docker
# Check out the Go v1.0.0-rc1 release tag.
git checkout v1.0.0-rc1
# Check out the Go v1.0.0-rc2 release tag.
git checkout v1.0.0-rc2
# Start the Go services and their dependencies in the background.
docker compose -f docker-compose.yml up -d
```
docs/administrator/admin/ragflow_cli.md
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@@ -25,7 +25,7 @@ When `VERSION` is omitted, the installer resolves the latest GitHub Release and
```bash
curl -fsSL https://raw.githubusercontent.com/infiniflow/ragflow/main/tools/scripts/install.sh \
| VERSION=v1.0.0-rc1 sh
| VERSION=v1.0.0-rc2 sh
```
Both forms are supported. Pin a version for production or reproducible installations so that a later Release does not change the installed version.
@@ -46,7 +46,7 @@ When no version is specified, the Windows installer also uses the latest GitHub
```powershell
irm https://raw.githubusercontent.com/infiniflow/ragflow/main/tools/scripts/install.ps1 -OutFile install.ps1
./install.ps1 -Version v1.0.0-rc1
./install.ps1 -Version v1.0.0-rc2
```
The Windows installer installs `ragflow-cli.exe` under `%LOCALAPPDATA%\Programs\RAGFlow` by default and adds that directory to the user `PATH`. Restart the terminal if the installer reports that `PATH` was updated.
docs/administrator/upgrade_ragflow.mdx
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@@ -64,16 +64,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
git pull
```
3. Switch to the latest, officially published release, e.g., `v1.0.0-rc1`:
3. Switch to the latest, officially published release, e.g., `v1.0.0-rc2`:
```bash
git checkout -f v1.0.0-rc1
git checkout -f v1.0.0-rc2
```
4. Update **docker/.env**:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc1
RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc2
```
5. Update the RAGFlow image and restart RAGFlow:
@@ -94,10 +94,10 @@ No, you do not need to. Upgrading RAGFlow in itself will *not* remove your uploa
1. From an environment with Internet access, pull the required Docker image.
2. Save the Docker image to a **.tar** file.
```bash
docker save -o ragflow.v1.0.0-rc1.tar infiniflow/ragflow:v1.0.0-rc1
docker save -o ragflow.v1.0.0-rc2.tar infiniflow/ragflow:v1.0.0-rc2
```
3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker:
```bash
docker load -i ragflow.v1.0.0-rc1.tar
docker load -i ragflow.v1.0.0-rc2.tar
```
docs/quickstart.mdx
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@@ -47,8 +47,8 @@ If Docker is not installed, see [Install Docker Engine](https://docs.docker.com/
```bash
# Enter the Docker deployment directory.
cd ragflow/docker
# Check out the Go v1.0.0-rc1 release tag.
git checkout v1.0.0-rc1
# Check out the Go v1.0.0-rc2 release tag.
git checkout v1.0.0-rc2
# Start the Go services and their dependencies in the background.
docker compose -f docker-compose.yml up -d
```
pyproject.toml
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@@ -1,6 +1,6 @@
[project]
name = "ragflow"
version = "1.0.0-rc1"
version = "1.0.0-rc2"
description = "[RAGFlow](https://ragflow.io/) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabilities, backed by well-founded citations from various complex formatted data."
authors = [{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }]
license-files = ["LICENSE"]
sdk/python/pyproject.toml
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@@ -1,6 +1,6 @@
[project]
name = "ragflow-sdk"
version = "1.0.0-rc1"
version = "1.0.0-rc2"
description = "Python client sdk of [RAGFlow](https://github.com/infiniflow/ragflow). RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding."
authors = [{ name = "Zhichang Yu", email = "yuzhichang@gmail.com" }]
license = { text = "Apache License, Version 2.0" }
sdk/python/uv.lock
Generated
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@@ -250,7 +250,7 @@ wheels = [
[[package]]
name = "ragflow-sdk"
version = "1.0.0-rc1"
version = "1.0.0-rc2"
source = { virtual = "." }
dependencies = [
{ name = "beartype" },
test/README.md
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@@ -33,7 +33,7 @@ uv pip install sdk/python
```env
COMPOSE_PROFILES=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc1 #Replace with the image you are using
RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc2 #Replace with the image you are using
```