Obsoleted dev and dev-slim (#3930)

### What problem does this PR solve?

Obsoleted dev and dev-slim
### Type of change

- [x] Documentation Update

.github/workflows/tests.yml

@@ -55,28 +55,29 @@ jobs:
         with:
           version: ">=0.8.2"
 
-      - name: Build ragflow:dev-slim
+      - name: Build ragflow:nightly-slim
         run: |
           RUNNER_WORKSPACE_PREFIX=${RUNNER_WORKSPACE_PREFIX:-$HOME}
           sudo docker pull ubuntu:22.04
-          sudo docker build --progress=plain --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:dev-slim .
+          sudo docker build --progress=plain --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
 
-      - name: Build ragflow:dev
+      - name: Build ragflow:nightly
         run: |
-          sudo docker build --progress=plain --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:dev .
+          sudo docker build --progress=plain --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly .
 
-      - name: Start ragflow:dev-slim
+      - name: Start ragflow:nightly-slim
         run: |
+          echo "RAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim" >> docker/.env
           sudo docker compose -f docker/docker-compose.yml up -d
 
-      - name: Stop ragflow:dev-slim
+      - name: Stop ragflow:nightly-slim
         if: always()  # always run this step even if previous steps failed
         run: |
           sudo docker compose -f docker/docker-compose.yml down -v
 
-      - name: Start ragflow:dev
+      - name: Start ragflow:nightly
         run: |
-          echo "RAGFLOW_IMAGE=infiniflow/ragflow:dev" >> docker/.env
+          echo "RAGFLOW_IMAGE=infiniflow/ragflow:nightly" >> docker/.env
           sudo docker compose -f docker/docker-compose.yml up -d
 
       - name: Run sdk tests against Elasticsearch
@@ -100,12 +101,12 @@ jobs:
           cd sdk/python && poetry install && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py 
           
 
-      - name: Stop ragflow:dev
+      - name: Stop ragflow:nightly
         if: always()  # always run this step even if previous steps failed
         run: |
           sudo docker compose -f docker/docker-compose.yml down -v
 
-      - name: Start ragflow:dev
+      - name: Start ragflow:nightly
         run: |
           sudo DOC_ENGINE=infinity docker compose -f docker/docker-compose.yml up -d
 
@@ -129,7 +130,7 @@ jobs:
           done
           cd sdk/python && poetry install && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py
 
-      - name: Stop ragflow:dev
+      - name: Stop ragflow:nightly
         if: always()  # always run this step even if previous steps failed
         run: |
           sudo DOC_ENGINE=infinity docker compose -f docker/docker-compose.yml down -v

README.md

@@ -165,29 +165,25 @@ releases! 🌟
    $ git clone https://github.com/infiniflow/ragflow.git
    ```
 
-3. Build the pre-built Docker images and start up the server:
+3. Start up the server using the pre-built Docker images:
 
-   > The command below downloads the dev version Docker image for RAGFlow slim (`dev-slim`). Note that RAGFlow slim
-   Docker images do not include embedding models or Python libraries and hence are approximately 1GB in size.
+   > The command below downloads the v0.14.1 version Docker image for RAGFlow slim (`v0.14.1-slim`). Note that RAGFlow slim
+   Docker images do not include embedding models or Python libraries and hence are approximately 2 GB in size.
 
    ```bash
    $ cd ragflow/docker
    $ docker compose -f docker-compose.yml up -d
    ```
 
-   > - To download a RAGFlow slim Docker image of a specific version, update the `RAGFLOW_IMAGE` variable in *
-       *docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`. After
-       making this change, rerun the command above to initiate the download.
-   > - To download the dev version of RAGFlow Docker image *including* embedding models and Python libraries, update the
-       `RAGFLOW_IMAGE` variable in **docker/.env** to `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. After making this change,
-       rerun the command above to initiate the download.
-   > - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update
-       the `RAGFLOW_IMAGE` variable in **docker/.env** to your desired version. For example,
-       `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`. After making this change, rerun the command above to initiate the
-       download.
+   | RAGFLOW_IMAGE tag in docker/.env | size  | Including embedding models and related Python packages? | comments               |
+   | -------------------------------- | ----- | ------------------------------------------------------- | ---------------------- |
+   | v0.14.1                          | ~9 GB | YES                                                     | stable release         |
+   | v0.14.1-slim                     | ~2 GB | NO                                                      | stable release         |
+   | v0.15.0-dev1                     | ~9 GB | YES                                                     | unstable beta release  |
+   | v0.15.0-dev1-slim                | ~2 GB | NO                                                      | unstable beta release  |
+   | nightly                          | ~9 GB | YES                                                     | unstable nightly build |
+   | nightly-slim                     | ~2 GB | NO                                                      | unstable nightly build |
 
-   > **NOTE:** A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size
-   and may take significantly longer time to load.
 
 4. Check the server status after having the server up and running:
 
@@ -267,12 +263,12 @@ RAGFlow uses Elasticsearch by default for storing full text and vectors. To swit
 
 ## 🔧 Build a Docker image without embedding models
 
-This image is approximately 1 GB in size and relies on external LLM and embedding services.
+This image is approximately 2 GB in size and relies on external LLM and embedding services.
 
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:dev-slim .
+docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
 ```
 
 ## 🔧 Build a Docker image including embedding models
@@ -282,7 +278,7 @@ This image is approximately 9 GB in size. As it includes embedding models, it re
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build -f Dockerfile -t infiniflow/ragflow:dev .
+docker build -f Dockerfile -t infiniflow/ragflow:nightly .
 ```
 
 ## 🔨 Launch service from source for development

README_id.md

@@ -160,7 +160,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
 
 3. Bangun image Docker pre-built dan jalankan server:
 
-   > Perintah di bawah ini akan mengunduh versi dev dari Docker image RAGFlow slim (`dev-slim`). Image RAGFlow slim
+   > Perintah di bawah ini akan mengunduh versi v0.14.1 dari Docker image RAGFlow slim (`v0.14.1-slim`). Image RAGFlow slim
    tidak termasuk model embedding atau library Python dan berukuran sekitar 1GB.
 
    ```bash
@@ -168,18 +168,16 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
    $ docker compose -f docker-compose.yml up -d
    ```
 
-   > - Untuk mengunduh versi tertentu dari image Docker RAGFlow slim, perbarui variabel `RAGFlow_IMAGE` di *
-       *docker/.env** sesuai dengan versi yang diinginkan. Misalnya, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`.
-       Setelah mengubah ini, jalankan ulang perintah di atas untuk memulai unduhan.
-   > - Untuk mengunduh versi dev dari image Docker RAGFlow *termasuk* model embedding dan library Python, perbarui
-       variabel `RAGFlow_IMAGE` di **docker/.env** menjadi `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. Setelah mengubah ini,
-       jalankan ulang perintah di atas untuk memulai unduhan.
-   > - Untuk mengunduh versi tertentu dari image Docker RAGFlow *termasuk* model embedding dan library Python, perbarui
-       variabel `RAGFlow_IMAGE` di **docker/.env** sesuai dengan versi yang diinginkan. Misalnya,
-       `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`. Setelah mengubah ini, jalankan ulang perintah di atas untuk memulai unduhan.
+   | RAGFLOW_IMAGE tag in docker/.env | size  | Including embedding models and related Python packages? | comments               |
+   | -------------------------------- | ----- | ------------------------------------------------------- | ---------------------- |
+   | v0.14.1                          | ~9 GB | YES                                                     | stable release         |
+   | v0.14.1-slim                     | ~2 GB | NO                                                      | stable release         |
+   | v0.15.0-dev1                     | ~9 GB | YES                                                     | unstable beta release  |
+   | v0.15.0-dev1-slim                | ~2 GB | NO                                                      | unstable beta release  |
+   | nightly                          | ~9 GB | YES                                                     | unstable nightly build |
+   | nightly-slim                     | ~2 GB | NO                                                      | unstable nightly build |
+
 
-   > **CATATAN:** Image Docker RAGFlow yang mencakup model embedding dan library Python berukuran sekitar 9GB
-   dan mungkin memerlukan waktu lebih lama untuk dimuat.
 
 4. Periksa status server setelah server aktif dan berjalan:
 
@@ -242,12 +240,12 @@ Pembaruan konfigurasi ini memerlukan reboot semua kontainer agar efektif:
 
 ## 🔧 Membangun Docker Image tanpa Model Embedding
 
-Image ini berukuran sekitar 1 GB dan bergantung pada aplikasi LLM eksternal dan embedding.
+Image ini berukuran sekitar 2 GB dan bergantung pada aplikasi LLM eksternal dan embedding.
 
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:dev-slim .
+docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
 ```
 
 ## 🔧 Membangun Docker Image Termasuk Model Embedding
@@ -257,7 +255,7 @@ Image ini berukuran sekitar 9 GB. Karena sudah termasuk model embedding, ia hany
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build -f Dockerfile -t infiniflow/ragflow:dev .
+docker build -f Dockerfile -t infiniflow/ragflow:nightly .
 ```
 
 ## 🔨 Menjalankan Aplikasi dari untuk Pengembangan

README_ja.md

@@ -141,18 +141,22 @@
 
 3. ビルド済みの Docker イメージをビルドし、サーバーを起動する:
 
-   > 以下のコマンドは、RAGFlow slim（`dev-slim`）の開発版Dockerイメージをダウンロードします。RAGFlow slimのDockerイメージには、埋め込みモデルやPythonライブラリが含まれていないため、サイズは約1GBです。
+   > 以下のコマンドは、RAGFlow slim（`v0.14.1-slim`）の開発版Dockerイメージをダウンロードします。RAGFlow slimのDockerイメージには、埋め込みモデルやPythonライブラリが含まれていないため、サイズは約1GBです。
 
    ```bash
    $ cd ragflow/docker
    $ docker compose -f docker-compose.yml up -d
    ```
 
-   > - 特定のバージョンのRAGFlow slim Dockerイメージをダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を希望のバージョンに更新します。例えば、`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`とします。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。
-   > - RAGFlowの埋め込みモデルとPythonライブラリを含む開発版Dockerイメージをダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を`RAGFLOW_IMAGE=infiniflow/ragflow:dev`に更新します。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。
-   > - 特定のバージョンのRAGFlow Dockerイメージ（埋め込みモデルとPythonライブラリを含む）をダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を希望のバージョンに更新します。例えば、`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`とします。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。  
-   
-   > **NOTE:** 埋め込みモデルとPythonライブラリを含むRAGFlow Dockerイメージのサイズは約9GBであり、読み込みにかなりの時間がかかる場合があります。
+   | RAGFLOW_IMAGE tag in docker/.env | size  | Including embedding models and related Python packages? | comments               |
+   | -------------------------------- | ----- | ------------------------------------------------------- | ---------------------- |
+   | v0.14.1                          | ~9 GB | YES                                                     | stable release         |
+   | v0.14.1-slim                     | ~2 GB | NO                                                      | stable release         |
+   | v0.15.0-dev1                     | ~9 GB | YES                                                     | unstable beta release  |
+   | v0.15.0-dev1-slim                | ~2 GB | NO                                                      | unstable beta release  |
+   | nightly                          | ~9 GB | YES                                                     | unstable nightly build |
+   | nightly-slim                     | ~2 GB | NO                                                      | unstable nightly build |
+
 
 4. サーバーを立ち上げた後、サーバーの状態を確認する:
 
@@ -228,7 +232,7 @@ RAGFlow はデフォルトで Elasticsearch を使用して全文とベクトル
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:dev-slim .
+docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
 ```
 
 ## 🔧 ソースコードをコンパイルしたDockerイメージ（埋め込みモデルを含む）
@@ -238,7 +242,7 @@ docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:dev-slim
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build -f Dockerfile -t infiniflow/ragflow:dev .
+docker build -f Dockerfile -t infiniflow/ragflow:nightly .
 ```
 
 ## 🔨 ソースコードからサービスを起動する方法

README_ko.md

@@ -145,18 +145,24 @@
 
 3. 미리 빌드된 Docker 이미지를 생성하고 서버를 시작하세요:
 
-   > 아래의 명령은 RAGFlow slim(dev-slim)의 개발 버전 Docker 이미지를 다운로드합니다. RAGFlow slim Docker 이미지에는 임베딩 모델이나 Python 라이브러리가 포함되어 있지 않으므로 크기는 약 1GB입니다.
+   > 아래의 명령은 RAGFlow slim(v0.14.1-slim)의 개발 버전 Docker 이미지를 다운로드합니다. RAGFlow slim Docker 이미지에는 임베딩 모델이나 Python 라이브러리가 포함되어 있지 않으므로 크기는 약 1GB입니다.
 
    ```bash
    $ cd ragflow/docker
    $ docker compose -f docker-compose.yml up -d
    ```
    
-   > - 특정 버전의 RAGFlow slim Docker 이미지를 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 원하는 버전으로 업데이트하세요. 예를 들어, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`으로 설정합니다. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.
-   > - RAGFlow의 임베딩 모델과 Python 라이브러리를 포함한 개발 버전 Docker 이미지를 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 `RAGFLOW_IMAGE=infiniflow/ragflow:dev`로 업데이트하세요. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.
-   > - 특정 버전의 RAGFlow Docker 이미지를 임베딩 모델과 Python 라이브러리를 포함하여 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 원하는 버전으로 업데이트하세요. 예를 들어, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1` 로 설정합니다. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.  
-   
-   > **NOTE:** 임베딩 모델과 Python 라이브러리를 포함한 RAGFlow Docker 이미지의 크기는 약 9GB이며, 로드하는 데 상당히 오랜 시간이 걸릴 수 있습니다.
+
+   | RAGFLOW_IMAGE tag in docker/.env | size  | Including embedding models and related Python packages? | comments               |
+   | -------------------------------- | ----- | ------------------------------------------------------- | ---------------------- |
+   | v0.14.1                          | ~9 GB | YES                                                     | stable release         |
+   | v0.14.1-slim                     | ~2 GB | NO                                                      | stable release         |
+   | v0.15.0-dev1                     | ~9 GB | YES                                                     | unstable beta release  |
+   | v0.15.0-dev1-slim                | ~2 GB | NO                                                      | unstable beta release  |
+   | nightly                          | ~9 GB | YES                                                     | unstable nightly build |
+   | nightly-slim                     | ~2 GB | NO                                                      | unstable nightly build |
+
+
 
 
 4. 서버가 시작된 후 서버 상태를 확인하세요:
@@ -230,7 +236,7 @@ RAGFlow 는 기본적으로 Elasticsearch 를 사용하여 전체 텍스트 및
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:dev-slim .
+docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
 ```
 
 ## 🔧 소스 코드로 Docker 이미지를 컴파일합니다(임베딩 모델 포함)
@@ -240,7 +246,7 @@ docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:dev-slim
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build -f Dockerfile -t infiniflow/ragflow:dev .
+docker build -f Dockerfile -t infiniflow/ragflow:nightly .
 ```
 
 ## 🔨 소스 코드로 서비스를 시작합니다.

README_zh.md

@@ -142,18 +142,23 @@
 
 3. 进入 **docker** 文件夹，利用提前编译好的 Docker 镜像启动服务器：
 
-   > 运行以下命令会自动下载 dev 版的 RAGFlow slim Docker 镜像（`dev-slim`），该镜像并不包含 embedding 模型以及一些 Python 库，因此镜像大小约 1GB。
+   > 运行以下命令会自动下载 v0.14.1 版的 RAGFlow slim Docker 镜像（`v0.14.1-slim`），该镜像并不包含 embedding 模型以及一些 Python 库，因此镜像大小约 1GB。
 
    ```bash
    $ cd ragflow/docker
    $ docker compose -f docker-compose.yml up -d
    ```
 
-   > - 如果你想下载并运行特定版本的 RAGFlow slim Docker 镜像，请在 **docker/.env** 文件中找到 `RAGFLOW_IMAGE` 变量，将其改为对应版本。例如 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`，然后再运行上述命令。
-   > - 如果您想安装内置 embedding 模型和 Python 库的 dev 版本的 Docker 镜像，需要将 **docker/.env** 文件中的 `RAGFLOW_IMAGE` 变量修改为： `RAGFLOW_IMAGE=infiniflow/ragflow:dev`。
-   > - 如果您想安装内置 embedding 模型和 Python 库的指定版本的 RAGFlow Docker 镜像，需要将 **docker/.env** 文件中的 `RAGFLOW_IMAGE` 变量修改为： `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`。修改后，再运行上面的命令。
-   > **注意：** 安装内置 embedding 模型和 Python 库的指定版本的 RAGFlow Docker 镜像大小约 9 GB，可能需要更长时间下载，请耐心等待。
-   
+   | RAGFLOW_IMAGE tag in docker/.env | 尺寸  | 内置 embedding 模型和相关 Python 库?                    | 描述                   |
+   | -------------------------------- | ----- | ------------------------------------------------------- | ---------------------- |
+   | v0.14.1                          | ~9 GB | YES                                                     | stable release         |
+   | v0.14.1-slim                     | ~2 GB | NO                                                      | stable release         |
+   | v0.15.0-dev1                     | ~9 GB | YES                                                     | unstable beta release  |
+   | v0.15.0-dev1-slim                | ~2 GB | NO                                                      | unstable beta release  |
+   | nightly                          | ~9 GB | YES                                                     | unstable nightly build |
+   | nightly-slim                     | ~2 GB | NO                                                      | unstable nightly build |
+
+
 4. 服务器启动成功后再次确认服务器状态：
 
    ```bash
@@ -230,12 +235,12 @@ RAGFlow 默认使用 Elasticsearch 存储文本和向量数据. 如果要切换
 
 ## 🔧 源码编译 Docker 镜像（不含 embedding 模型）
 
-本 Docker 镜像大小约 1 GB 左右并且依赖外部的大模型和 embedding 服务。
+本 Docker 镜像大小约 2 GB 左右并且依赖外部的大模型和 embedding 服务。
 
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:dev-slim .
+docker build --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
 ```
 
 ## 🔧 源码编译 Docker 镜像（包含 embedding 模型）
@@ -245,7 +250,7 @@ docker build --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t in
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:dev .
+docker build --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly .
 ```
 
 ## 🔨 以源代码启动服务

docker/.env

@@ -80,13 +80,13 @@ REDIS_PASSWORD=infini_rag_flow
 SVR_HTTP_PORT=9380
 
 # The RAGFlow Docker image to download.
-# Defaults to the dev-slim edition, which is the RAGFlow Docker image without embedding models.
-RAGFLOW_IMAGE=infiniflow/ragflow:dev
+# Defaults to the v0.14.1-slim edition, which is the RAGFlow Docker image without embedding models.
+RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim
 #
 # To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
-# RAGFLOW_IMAGE=infiniflow/ragflow:dev
+# RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1
 # 
-# The Docker image of the dev edition includes:
+# The Docker image of the v0.14.1 edition includes:
 # - Built-in embedding models:
 #   - BAAI/bge-large-zh-v1.5
 #   - BAAI/bge-reranker-v2-m3
@@ -107,13 +107,13 @@ RAGFLOW_IMAGE=infiniflow/ragflow:dev
 
 # If you cannot download the RAGFlow Docker image:
 #
-# - For the `dev-slim` edition, uncomment either of the following:
-# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev-slim
-# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev-slim
+# - For the `nightly-slim` edition, uncomment either of the following:
+# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly-slim
+# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly-slim
 #
-# - For the `dev` edition, uncomment either of the following:
-# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev
-# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev
+# - For the `nightly` edition, uncomment either of the following:
+# RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly
+# RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly
 
 # The local time zone.
 TIMEZONE='Asia/Shanghai'

docker/README.md

@@ -75,8 +75,8 @@ The [.env](./.env) file contains important environment variables for Docker.
 - `RAGFLOW-IMAGE`  
   The Docker image edition. Available editions:  
   
-  - `infiniflow/ragflow:dev-slim` (default): The RAGFlow Docker image without embedding models.  
-  - `infiniflow/ragflow:dev`: The RAGFlow Docker image with embedding models including:
+  - `infiniflow/ragflow:v0.14.1-slim` (default): The RAGFlow Docker image without embedding models.  
+  - `infiniflow/ragflow:v0.14.1`: The RAGFlow Docker image with embedding models including:
     - Built-in embedding models:
       - `BAAI/bge-large-zh-v1.5` 
       - `BAAI/bge-reranker-v2-m3`
@@ -95,12 +95,12 @@ The [.env](./.env) file contains important environment variables for Docker.
 > [!TIP]  
 > If you cannot download the RAGFlow Docker image, try the following mirrors.  
 > 
-> - For the `dev-slim` edition:  
->   - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev-slim` or,
->   - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev-slim`.
-> - For the `dev` edition:  
->   - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev` or,
->   - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev`.
+> - For the `nightly-slim` edition:  
+>   - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly-slim` or,
+>   - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly-slim`.
+> - For the `nightly` edition:  
+>   - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly` or,
+>   - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly`.
 
 ### Timezone
 

docs/configurations.md

@@ -93,8 +93,8 @@ The [.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env) file con
 - `RAGFLOW-IMAGE`  
   The Docker image edition. Available editions:  
   
-  - `infiniflow/ragflow:dev-slim` (default): The RAGFlow Docker image without embedding models.  
-  - `infiniflow/ragflow:dev`: The RAGFlow Docker image with embedding models including:
+  - `infiniflow/ragflow:v0.14.1-slim` (default): The RAGFlow Docker image without embedding models.  
+  - `infiniflow/ragflow:v0.14.1`: The RAGFlow Docker image with embedding models including:
     - Built-in embedding models:
       - `BAAI/bge-large-zh-v1.5` 
       - `BAAI/bge-reranker-v2-m3`
@@ -113,12 +113,12 @@ The [.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env) file con
 :::tip NOTE  
 If you cannot download the RAGFlow Docker image, try the following mirrors.  
 
-- For the `dev-slim` edition:  
-  - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev-slim` or,
-  - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev-slim`.
-- For the `dev` edition:  
-  - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:dev` or,
-  - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:dev`.
+- For the `nightly-slim` edition:  
+  - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly-slim` or,
+  - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly-slim`.
+- For the `nightly` edition:  
+  - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly` or,
+  - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly`.
 :::
 
 ### Timezone

docs/guides/develop/build_docker_image.mdx

@@ -31,7 +31,7 @@ A guide explaining how to build a RAGFlow Docker image from its source code. By
   ]}>
   <TabItem value="without">
 
-This image is approximately 1 GB in size and relies on external LLM and embedding services.
+This image is approximately 2 GB in size and relies on external LLM and embedding services.
 
 :::tip NOTE
 While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine as well.
@@ -40,7 +40,7 @@ While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlo
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:dev-slim .
+docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
 ```
 
 
@@ -56,7 +56,7 @@ While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlo
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
-docker build -f Dockerfile -t infiniflow/ragflow:dev .
+docker build -f Dockerfile -t infiniflow/ragflow:nightly .
 ```
 
   </TabItem>

docs/guides/upgrade_ragflow.mdx

@@ -7,11 +7,11 @@ slug: /upgrade_ragflow
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-Upgrade RAGFlow to `dev-slim`/`dev` or the latest, published release.
+Upgrade RAGFlow to `nightly-slim`/`nightly` or the latest, published release.
 
-## Upgrade RAGFlow to `dev-slim`/`dev`, the most recent, tested Docker image
+## Upgrade RAGFlow to `nightly-slim`/`nightly`, the most recent, tested Docker image
 
-`dev-slim` refers to the RAGFlow Docker image *without* embedding models, while `dev` refers to the RAGFlow Docker image with embedding models. For details on their differences, see [ragflow/docker/.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env).
+`nightly-slim` refers to the RAGFlow Docker image *without* embedding models, while `nightly` refers to the RAGFlow Docker image with embedding models. For details on their differences, see [ragflow/docker/.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env).
 
 To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker image:
 
@@ -24,22 +24,22 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
 2. Update **ragflow/docker/.env**:
 
 <Tabs
-  defaultValue="dev-slim"
+  defaultValue="nightly-slim"
   values={[
-    {label: 'dev-slim', value: 'dev-slim'},
-    {label: 'dev', value: 'dev'},
+    {label: 'nightly-slim', value: 'nightly-slim'},
+    {label: 'nightly', value: 'nightly'},
   ]}>
-  <TabItem value="dev-slim">
+  <TabItem value="nightly-slim">
 
 ```bash
-RAGFLOW_IMAGE=infiniflow/ragflow:dev-slim
+RAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim
 ```
 
   </TabItem>
-  <TabItem value="dev">
+  <TabItem value="nightly">
 
 ```bash
-RAGFLOW_IMAGE=infiniflow/ragflow:dev
+RAGFLOW_IMAGE=infiniflow/ragflow:nightly
 ```
 
   </TabItem>
@@ -65,7 +65,7 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
 2. Switch to the latest, officially published release, e.g., `v0.14.1`:
 
    ```bash
-   git checkout v0.14.1
+   git checkout -f v0.14.1
    ```
 
 3. Update **ragflow/docker/.env** as follows:

docs/quickstart.mdx

@@ -177,20 +177,27 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
 
    ```bash
    $ git clone https://github.com/infiniflow/ragflow.git
+   $ cd ragflow
+   $ git checkout -f v0.14.1
    ```
 
-3. Build the pre-built Docker images and start up the server:
+3. Use the pre-built Docker images and start up the server:
 
-   > The command below downloads the dev version Docker image for RAGFlow slim (`dev-slim`). Note that RAGFlow slim Docker images do not include embedding models or Python libraries and hence are approximately 1GB in size.
+   > The command below downloads the v0.14.1 version Docker image for RAGFlow slim (`v0.14.1-slim`). Note that RAGFlow slim Docker images do not include embedding models or Python libraries and hence are approximately 2 GB in size.
 
    ```bash
-   $ cd ragflow/docker
-   $ docker compose -f docker-compose.yml up -d
+   $ docker compose -f docker/docker-compose.yml up -d
    ```
 
-   > - To download a RAGFlow slim Docker image of a specific version, update the `RAGFlOW_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`. After making this change, rerun the command above to initiate the download.
-   > - To download the dev version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlOW_IMAGE` variable in **docker/.env** to `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. After making this change, rerun the command above to initiate the download.
-   > - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlOW_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`. After making this change, rerun the command above to initiate the download.
+   | RAGFLOW_IMAGE tag in docker/.env | size  | Including embedding models and related Python packages? | comments               |
+   | -------------------------------- | ----- | ------------------------------------------------------- | ---------------------- |
+   | v0.14.1                          | ~9 GB | YES                                                     | stable release         |
+   | v0.14.1-slim                     | ~2 GB | NO                                                      | stable release         |
+   | v0.15.0-dev1                     | ~9 GB | YES                                                     | unstable beta release  |
+   | v0.15.0-dev1-slim                | ~2 GB | NO                                                      | unstable beta release  |
+   | nightly                          | ~9 GB | YES                                                     | unstable nightly build |
+   | nightly-slim                     | ~2 GB | NO                                                      | unstable nightly build |
+
 
 :::tip NOTE
 A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size and may take significantly longer time to load.

docs/references/faq.md

@@ -42,10 +42,10 @@ We officially support x86 CPU and nvidia GPU. While we also test RAGFlow on ARM6
 
 ### Which embedding models can be deployed locally?
 
-RAGFlow offers two Docker image editions, `dev-slim` and `dev`:  
+RAGFlow offers two Docker image editions, `v0.14.1-slim` and `v0.14.1`:  
   
-- `infiniflow/ragflow:dev-slim` (default): The RAGFlow Docker image without embedding models.  
-- `infiniflow/ragflow:dev`: The RAGFlow Docker image with embedding models including:
+- `infiniflow/ragflow:v0.14.1-slim` (default): The RAGFlow Docker image without embedding models.  
+- `infiniflow/ragflow:v0.14.1`: The RAGFlow Docker image with embedding models including:
   - Built-in embedding models:
     - `BAAI/bge-large-zh-v1.5`
     - `BAAI/bge-reranker-v2-m3`

docs/release_notes.md

@@ -102,11 +102,11 @@ Released on September 30, 2024.
 
 As of this release, RAGFlow offers slim editions of its Docker images to improve the experience for users with limited Internet access. A slim edition of RAGFlow's Docker image does not include built-in BGE/BCE embedding models and has a size of about 1GB; a full edition of RAGFlow is approximately 9GB and includes both built-in embedding models and embedding models that will be downloaded once you select them in the RAGFlow UI.
 
-The default Docker image edition is `dev-slim`. The following list clarifies the differences between various editions:
+The default Docker image edition is `nightly-slim`. The following list clarifies the differences between various editions:
 
-- `dev-slim`: The slim edition of the most recent tested Docker image.
+- `nightly-slim`: The slim edition of the most recent tested Docker image.
 - `v0.12.0-slim`: The slim edition of the most recent **officially released** Docker image.
-- `dev`: The full edition of the most recent tested Docker image.
+- `nightly`: The full edition of the most recent tested Docker image.
 - `v0.12.0`: The full edition of the most recent **officially released** Docker image.
 
 See [Upgrade RAGFlow](https://ragflow.io/docs/dev/upgrade_ragflow) for instructions on upgrading.

helm/values.yaml

@@ -27,13 +27,13 @@ env:
   REDIS_PASSWORD: infini_rag_flow_helm
 
   # The RAGFlow Docker image to download.
-  # Defaults to the dev-slim edition, which is the RAGFlow Docker image without embedding models.
-  RAGFLOW_IMAGE: infiniflow/ragflow:dev-slim
+  # Defaults to the v0.14.1-slim edition, which is the RAGFlow Docker image without embedding models.
+  RAGFLOW_IMAGE: infiniflow/ragflow:v0.14.1-slim
   #
   # To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
-  # RAGFLOW_IMAGE=infiniflow/ragflow:dev
+  # RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1
   #
-  # The Docker image of the dev edition includes:
+  # The Docker image of the v0.14.1 edition includes:
   # - Built-in embedding models:
   #   - BAAI/bge-large-zh-v1.5
   #   - BAAI/bge-reranker-v2-m3