diff --git a/README.md b/README.md index 2994aa59cf..76839dc994 100644 --- a/README.md +++ b/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-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. diff --git a/README_ar.md b/README_ar.md index c14efce706..4a03eab99a 100644 --- a/README_ar.md +++ b/README_ar.md @@ -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 ``` diff --git a/README_fr.md b/README_fr.md index 29a5aea873..b33e1cc74a 100644 --- a/README_fr.md +++ b/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-rc1 + git checkout v1.0.0-rc2 docker compose -f docker-compose.yml up -d ``` diff --git a/README_id.md b/README_id.md index 429c58f976..2995518e8b 100644 --- a/README_id.md +++ b/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-rc1 + git checkout v1.0.0-rc2 docker compose -f docker-compose.yml up -d ``` diff --git a/README_ja.md b/README_ja.md index 31b48e13cc..c4b8feb1a3 100644 --- a/README_ja.md +++ b/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-rc1 + git checkout v1.0.0-rc2 docker compose -f docker-compose.yml up -d ``` diff --git a/README_ko.md b/README_ko.md index d14acc4d64..3adb208deb 100644 --- a/README_ko.md +++ b/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-rc1 + git checkout v1.0.0-rc2 docker compose -f docker-compose.yml up -d ``` diff --git a/README_pt_br.md b/README_pt_br.md index 63697dd5c5..eca5247077 100644 --- a/README_pt_br.md +++ b/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-rc1 + git checkout v1.0.0-rc2 docker compose -f docker-compose.yml up -d ``` diff --git a/README_ru.md b/README_ru.md index 33b1530f4f..af6651f49e 100644 --- a/README_ru.md +++ b/README_ru.md @@ -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 ``` diff --git a/README_tr.md b/README_tr.md index ab3106eb19..b1a83d6bf7 100644 --- a/README_tr.md +++ b/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-rc1 + git checkout v1.0.0-rc2 docker compose -f docker-compose.yml up -d ``` diff --git a/README_tzh.md b/README_tzh.md index a988979663..c030e78ee3 100644 --- a/README_tzh.md +++ b/README_tzh.md @@ -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。 diff --git a/README_zh.md b/README_zh.md index 19ac502e0f..6ef2239d1b 100644 --- a/README_zh.md +++ b/README_zh.md @@ -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。 diff --git a/docker/.env b/docker/.env index e44862eb3d..f378323ab7 100644 --- a/docker/.env +++ b/docker/.env @@ -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 diff --git a/docker/README.md b/docker/README.md index 14e184e112..5938f32dc5 100644 --- a/docker/README.md +++ b/docker/README.md @@ -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 ``` diff --git a/docs/administrator/admin/ragflow_cli.md b/docs/administrator/admin/ragflow_cli.md index d6f81e560e..bd614a6c38 100644 --- a/docs/administrator/admin/ragflow_cli.md +++ b/docs/administrator/admin/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-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. diff --git a/docs/administrator/upgrade_ragflow.mdx b/docs/administrator/upgrade_ragflow.mdx index e54afb29e5..1d6f1a32b1 100644 --- a/docs/administrator/upgrade_ragflow.mdx +++ b/docs/administrator/upgrade_ragflow.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-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 ``` diff --git a/docs/quickstart.mdx b/docs/quickstart.mdx index 673da7b421..7d633ff193 100644 --- a/docs/quickstart.mdx +++ b/docs/quickstart.mdx @@ -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 ``` diff --git a/pyproject.toml b/pyproject.toml index b283b800fa..0b39033f15 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -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"] diff --git a/sdk/python/pyproject.toml b/sdk/python/pyproject.toml index 73cb437b63..220b7a530c 100644 --- a/sdk/python/pyproject.toml +++ b/sdk/python/pyproject.toml @@ -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" } diff --git a/sdk/python/uv.lock b/sdk/python/uv.lock index 86deb7f50e..a0d116cfdc 100644 --- a/sdk/python/uv.lock +++ b/sdk/python/uv.lock @@ -250,7 +250,7 @@ wheels = [ [[package]] name = "ragflow-sdk" -version = "1.0.0-rc1" +version = "1.0.0-rc2" source = { virtual = "." } dependencies = [ { name = "beartype" }, diff --git a/test/README.md b/test/README.md index ca6fd17357..a7e9aff484 100644 --- a/test/README.md +++ b/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-rc1 #Replace with the image you are using +RAGFLOW_IMAGE=infiniflow/ragflow:v1.0.0-rc2 #Replace with the image you are using ```