Updated RAGFlow edition descriptions (infiniflow#4001)

### What problem does this PR solve?


### Type of change

- [x] Documentation Update

README.md

@@ -167,8 +167,7 @@ releases! 🌟
 
 3. Start up the server using the pre-built Docker images:
 
-   > 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.
+   > The command below downloads the `v0.14.1-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download an RAGFlow edition different from `v0.14.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1` for the full edition `v0.14.1`.
 
    ```bash
    $ cd ragflow

README_id.md

@@ -160,8 +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 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.
+   > Perintah di bawah ini mengunduh edisi v0.14.1-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.14.1-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1 untuk edisi lengkap v0.14.1.
 
    ```bash
    $ cd ragflow

README_ja.md

@@ -141,7 +141,7 @@
 
 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（`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。
+   > 以下のコマンドは、RAGFlow Dockerイメージの v0.14.1-slim エディションをダウンロードします。異なる RAGFlow エディションの説明については、以下の表を参照してください。v0.14.1-slim とは異なるエディションをダウンロードするには、docker/.env ファイルの RAGFLOW_IMAGE 変数を適宜更新し、docker compose を使用してサーバーを起動してください。例えば、完全版 v0.14.1 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1 と設定します。
 
    ```bash
    $ cd ragflow

README_ko.md

@@ -145,7 +145,7 @@
 
 3. 미리 빌드된 Docker 이미지를 생성하고 서버를 시작하세요:
 
-   > 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.
+   > 아래 명령어는 RAGFlow Docker 이미지의 v0.14.1-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.14.1-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.14.1을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1로 설정합니다.
 
    ```bash
    $ cd ragflow

README_zh.md

@@ -142,7 +142,7 @@
 
 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 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。
+   > 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.14.1-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.14.0-slim` 的 Docker 镜像，请在运行 `docker compose` 启动服务之前先更新 **docker/.env** 文件内的 `RAGFLOW_IMAGE` 变量。比如，你可以通过设置 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1` 来下载 RAGFlow 镜像的 `v0.14.1` 完整发行版。
 
    ```bash
    $ cd ragflow

docs/quickstart.mdx

@@ -184,7 +184,9 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
 
 3. Use the pre-built Docker images and start up the server:
 
-   > 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.
+   :::tip NOTE
+   The command below downloads the `v0.14.1-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download an RAGFlow edition different from `v0.14.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1` for the full edition `v0.14.1`.
+   :::
 
    ```bash
    $ docker compose -f docker/docker-compose.yml up -d
@@ -194,23 +196,19 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
 <APITable>
 ```
 
-| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable?                  |
-| ----------------- | --------------- | --------------------- | ------------------------ |
-| v0.14.1           | &approx;9       | :heavy_check_mark:    | Stable release           |
-| v0.14.1-slim      | &approx;2       | ❌                    | Stable release           |
-| v0.15.0-dev1      | &approx;9       | :heavy_check_mark:    | *Unstable* beta release  |
-| v0.15.0-dev1-slim | &approx;2       | ❌                    | *Unstable* beta release  |
-| nightly           | &approx;9       | :heavy_check_mark:    | *Unstable* nightly build |
-| nightly-slim      | &approx;2       | ❌                    | *Unstable* nightly build |
+   | RAGFlow image tag   | Image size (GB) | Has embedding models and Python packages? | Stable?                  |
+   | ------------------- | --------------- | ----------------------------------------- | ------------------------ |
+   | `v0.14.1`           | &approx;9       | :heavy_check_mark:                        | Stable release           |
+   | `v0.14.1-slim`      | &approx;2       | ❌                                        | Stable release           |
+   | `v0.15.0-dev1`      | &approx;9       | :heavy_check_mark:                        | *Unstable* beta release  |
+   | `v0.15.0-dev1-slim` | &approx;2       | ❌                                        | *Unstable* beta release  |
+   | `nightly`           | &approx;9       | :heavy_check_mark:                        | *Unstable* nightly build |
+   | `nightly-slim`      | &approx;2       | ❌                                        | *Unstable* nightly build |
 
 ```mdx-code-block
 </APITable>
 ```
 
-:::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.
-:::
-
 4. Check the server status after having the server up and running:
 
    ```bash