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Corrections. #4127

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -168,7 +168,7 @@ releases! 🌟

3. Start up the server using the pre-built Docker images:

> The command below downloads the `v0.15.0-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`.
> The command below downloads the `v0.15.0-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 `v0.15.0-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:v0.15.0` for the full edition `v0.15.0`.

```bash
$ cd ragflow
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2 changes: 1 addition & 1 deletion README_id.md
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Expand Up @@ -161,7 +161,7 @@ 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 mengunduh edisi v0.15.0-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.
> Perintah di bawah ini mengunduh edisi v0.15.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.15.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0 untuk edisi lengkap v0.15.0.

```bash
$ cd ragflow
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2 changes: 1 addition & 1 deletion README_ja.md
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Expand Up @@ -142,7 +142,7 @@

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 Dockerイメージの v0.15.0-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。v0.15.0-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。
> 以下のコマンドは、RAGFlow Dockerイメージの v0.15.0-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。v0.15.0-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 v0.15.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0 と設定します。

```bash
$ cd ragflow
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2 changes: 1 addition & 1 deletion README_ko.md
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Expand Up @@ -147,7 +147,7 @@

3. 미리 빌드된 Docker 이미지를 생성하고 서버를 시작하세요:

> 아래 명령어는 RAGFlow Docker 이미지의 v0.15.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.15.0-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.
> 아래 명령어는 RAGFlow Docker 이미지의 v0.15.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.15.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.15.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0로 설정합니다.

```bash
$ cd ragflow
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2 changes: 1 addition & 1 deletion README_zh.md
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Expand Up @@ -143,7 +143,7 @@

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 RAGFlow slim Docker 镜像 `v0.15.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.15.0-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。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.15.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.15.0-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:v0.15.0` 来下载 RAGFlow 镜像的 `v0.15.0` 完整发行版。

```bash
$ cd ragflow
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2 changes: 1 addition & 1 deletion docs/quickstart.mdx
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Expand Up @@ -185,7 +185,7 @@ 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:

:::tip NOTE
The command below downloads the `v0.15.0-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`.
The command below downloads the `v0.15.0-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 `v0.15.0-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:v0.15.0` for the full edition `v0.15.0`.
:::

```bash
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4 changes: 2 additions & 2 deletions docs/references/http_api_reference.md
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Expand Up @@ -2175,7 +2175,7 @@ curl --request POST \
##### Request parameters

- `agent_id`: (*Path parameter*)
The ID of the associated agent assistant.
The ID of the associated agent.

#### Response

Expand Down Expand Up @@ -2364,7 +2364,7 @@ curl --request POST \
##### Request Parameters

- `agent_id`: (*Path parameter*), `string`
The ID of the associated agent assistant.
The ID of the associated agent.
- `"question"`: (*Body Parameter*), `string`, *Required*
The question to start an AI-powered conversation.
- `"stream"`: (*Body Parameter*), `boolean`
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2 changes: 1 addition & 1 deletion docs/references/python_api_reference.md
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Expand Up @@ -1412,7 +1412,7 @@ Creates a session with the current agent.
- Success: A `Session` object containing the following attributes:
- `id`: `str` The auto-generated unique identifier of the created session.
- `message`: `list[Message]` The messages of the created session assistant. Default: `[{"role": "assistant", "content": "Hi! I am your assistant，can I help you?"}]`
- `agent_id`: `str` The ID of the associated agent assistant.
- `agent_id`: `str` The ID of the associated agent.
- Failure: `Exception`

#### Examples
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