Docs: Update version references to v1.0.0-rc3 in READMEs and docs (#21788)

README.md

@@ -196,10 +196,10 @@ Local deployment supports both Docker deployment and launching from source. Dock
    cd ragflow/docker
    ```
 
-   Check out the `v1.0.0-rc2` release tag.
+   Check out the `v1.0.0-rc3` release tag.
 
    ```bash
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    ```
 
    Start the RAGFlow services and their dependencies.

README_ar.md

@@ -176,7 +176,7 @@
 
    ```bash
    cd ragflow/docker
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_fr.md

@@ -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-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_id.md

@@ -173,7 +173,7 @@ Deployment lokal mendukung Docker dan menjalankan dari sumber. Docker cocok untu
 
    ```bash
    cd ragflow/docker
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_ja.md

@@ -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-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_ko.md

@@ -187,7 +187,7 @@ Docker는 빠른 평가, 통합 테스트 및 프로덕션에 적합하고 소
 
    ```bash
    cd ragflow/docker
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_pt_br.md

@@ -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-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_ru.md

@@ -184,7 +184,7 @@ Docker подходит для быстрой оценки, интеграцио
 
    ```bash
    cd ragflow/docker
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_tr.md

@@ -187,7 +187,7 @@ Docker hızlı değerlendirme, entegrasyon testi ve üretim; kaynak kod ise geli
 
    ```bash
    cd ragflow/docker
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    docker compose -f docker-compose.yml up -d
    ```
 

README_tzh.md

@@ -198,10 +198,10 @@
    cd ragflow/docker
    ```
 
-   切換到 `v1.0.0-rc2` 發佈標籤。
+   切換到 `v1.0.0-rc3` 發佈標籤。
 
    ```bash
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    ```
 
    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-rc2` 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-rc3` 標籤：
    >
-   > - 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`
+   > - 華為雲：`swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc3`
+   > - 阿里雲：`registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc3`
 
    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

@@ -198,10 +198,10 @@
    cd ragflow/docker
    ```
 
-   切换到 `v1.0.0-rc2` 发布标签。
+   切换到 `v1.0.0-rc3` 发布标签。
 
    ```bash
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    ```
 
    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-rc2` 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-rc3` 标签：
    >
-   > - 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`
+   > - 华为云：`swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc3`
+   > - 阿里云：`registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc3`
 
    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

@@ -313,11 +313,11 @@ 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-rc2
+RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc3
 
 # If you cannot download the RAGFlow Docker image:
-# 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
+# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v1.0.0-rc3
+# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:v1.0.0-rc3
 #
 # - For the `nightly` edition, uncomment either of the following:
 # RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly

docker/README.md

@@ -37,8 +37,8 @@ it later does not change an existing account's password.
 ```bash
 # Enter the Docker deployment directory.
 cd ragflow/docker
-# Check out the Go v1.0.0-rc2 release tag.
-git checkout v1.0.0-rc2
+# Check out the Go v1.0.0-rc3 release tag.
+git checkout v1.0.0-rc3
 # Start the Go services and their dependencies in the background.
 docker compose -f docker-compose.yml up -d
 ```

docs/administrator/management/ragflow_cli.md

@@ -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-rc2 sh
+  | VERSION=v1.0.0-rc3 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-rc2
+./install.ps1 -Version v1.0.0-rc3
 ```
 
 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_and_migration/upgrading.mdx

@@ -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-rc2`:
+3. Switch to the latest, officially published release, e.g., `v1.0.0-rc3`:
 
    ```bash
-   git checkout -f v1.0.0-rc2
+   git checkout -f v1.0.0-rc3
    ```
 
 4. Update **docker/.env**:
 
    ```bash
-   RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc2
+   RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc3
    ```
 
 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-rc2.tar infiniflow/ragflow:v1.0.0-rc2
+   docker save -o ragflow.v1.0.0-rc3.tar infiniflow/ragflow:v1.0.0-rc3
    ```
 3. Copy the **.tar** file to the target server.
 4. Load the **.tar** file into Docker:
    ```bash
-   docker load -i ragflow.v1.0.0-rc2.tar
+   docker load -i ragflow.v1.0.0-rc3.tar
    ```

docs/develop/build_docker_image.mdx

@@ -19,7 +19,7 @@ Build RAGFlow from source into a local Docker image for development and testing.
 - Access to `infiniflow/ragflow_deps:latest` and the build image for your target architecture: `infiniflow/github_action_runner:latest` for x86-64 or `infiniflow/github_action_runner:latest-arm64` for ARM64.
 - Internet access during the build to download system packages, fonts, tokenizer resources, npm dependencies, and Go modules. Pulling the dependency images in advance is not sufficient for an offline build.
 
-RAGFlow provides prebuilt Docker images for Linux x86-64 and ARM64 starting with v1.0.0-rc2. To deploy a published image, follow the [Quickstart](../quickstart.mdx). The instructions below cover building a Docker image from source on a Linux host matching the target architecture.
+RAGFlow provides prebuilt Docker images for Linux x86-64 and ARM64 starting with v1.0.0-rc3. To deploy a published image, follow the [Quickstart](../quickstart.mdx). The instructions below cover building a Docker image from source on a Linux host matching the target architecture.
 
 For the default Elasticsearch document engine on Linux, set `vm.max_map_count` to at least 262144 on the Docker host.
 
@@ -47,7 +47,7 @@ Run the build from the repository root. Keep the `.git` directory in the build c
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow
-git checkout v1.0.0-rc2
+git checkout v1.0.0-rc3
 ```
 
 Use the same release tag as the README deployment instructions so the image and local Compose files match. For development, check out the branch or commit you intend to test instead, and keep its Docker deployment files with the built image.

docs/quickstart.mdx

@@ -16,7 +16,7 @@ This quick start guide describes a general process from:
 - Establishing an AI chat based on your datasets.
 
 :::danger IMPORTANT
-This guide deploys RAGFlow using Docker images and the Docker Compose configuration provided in the repository. Docker images are available for Linux x86-64 and ARM64 starting with v1.0.0-rc2. Docker automatically selects the image matching your host architecture when you use the release tag.
+This guide deploys RAGFlow using Docker images and the Docker Compose configuration provided in the repository. Docker images are available for Linux x86-64 and ARM64 starting with v1.0.0-rc3. Docker automatically selects the image matching your host architecture when you use the release tag.
 :::
 
 ## Prerequisites
@@ -50,12 +50,12 @@ If Docker is not installed, see [Install Docker Engine](https://docs.docker.com/
    # Enter the Docker deployment directory.
    cd ragflow/docker
    # Check out the latest release tag; replace it with another version if needed.
-   git checkout v1.0.0-rc2
+   git checkout v1.0.0-rc3
    # Start the RAGFlow services and their dependencies in the background.
    docker compose -f docker-compose.yml up -d
    ```
 
-   To deploy another version, replace `v1.0.0-rc2` with a tag from the [Releases](https://github.com/infiniflow/ragflow/releases) page. Before starting the services, ensure `RAGFLOW_IMAGE` in `docker/.env` uses the matching image tag.
+   To deploy another version, replace `v1.0.0-rc3` with a tag from the [Releases](https://github.com/infiniflow/ragflow/releases) page. Before starting the services, ensure `RAGFLOW_IMAGE` in `docker/.env` uses the matching image tag.
 
    The `docker/.env` file controls `DOC_ENGINE`, service ports, and dependency credentials. Change the default passwords before deploying to a network-accessible host.
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ragflow"
-version = "1.0.0-rc2"
+version = "1.0.0-rc3"
 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

@@ -1,6 +1,6 @@
 [project]
 name = "ragflow-sdk"
-version = "1.0.0-rc2"
+version = "1.0.0-rc3"
 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

@@ -290,7 +290,7 @@ wheels = [
 
 [[package]]
 name = "ragflow-sdk"
-version = "1.0.0rc2"
+version = "1.0.0-rc3"
 source = { virtual = "." }
 dependencies = [
     { name = "beartype" },

test/README.md

@@ -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-rc2 #Replace with the image you are using
+RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc3 #Replace with the image you are using
 
 ```