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Docs: update for v0.18.0 (#7223) 

### What problem does this PR solve?

update for v0.18.0

### Type of change

- [x] Documentation Update
tags/v0.18.0
liu an 6 months ago
parent
e9669e7fb1
commit
03672df691
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23 changed files with 63 additions and 63 deletions
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README.md View File

@@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -176,7 +176,7 @@ releases! 🌟
> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
> If you are on an ARM64 platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a Docker image compatible with your system.

> The command below downloads the `v0.17.2-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.2-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:v0.17.2` for the full edition `v0.17.2`.
> The command below downloads the `v0.18.0-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.18.0-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:v0.18.0` for the full edition `v0.18.0`.

```bash
$ cd ragflow/docker
@@ -189,8 +189,8 @@ releases! 🌟

| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |


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README_id.md View File

@@ -22,7 +22,7 @@
<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
@@ -169,7 +169,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
> Semua gambar Docker dibangun untuk platform x86. Saat ini, kami tidak menawarkan gambar Docker untuk ARM64.
> Jika Anda menggunakan platform ARM64, [silakan gunakan panduan ini untuk membangun gambar Docker yang kompatibel dengan sistem Anda](https://ragflow.io/docs/dev/build_docker_image).

> Perintah di bawah ini mengunduh edisi v0.17.2-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.17.2-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2 untuk edisi lengkap v0.17.2.
> Perintah di bawah ini mengunduh edisi v0.18.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.18.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0 untuk edisi lengkap v0.18.0.

```bash
$ cd ragflow/docker
@@ -182,8 +182,8 @@ $ docker compose -f docker-compose.yml up -d

| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |


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README_ja.md View File

@@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -149,7 +149,7 @@
> 現在、公式に提供されているすべての Docker イメージは x86 アーキテクチャ向けにビルドされており、ARM64 用の Docker イメージは提供されていません。
> ARM64 アーキテクチャのオペレーティングシステムを使用している場合は、[このドキュメント](https://ragflow.io/docs/dev/build_docker_image)を参照して Docker イメージを自分でビルドしてください。

> 以下のコマンドは、RAGFlow Docker イメージの v0.17.2-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。v0.17.2-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 v0.17.2 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2 と設定します。
> 以下のコマンドは、RAGFlow Docker イメージの v0.18.0-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。v0.18.0-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 v0.18.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0 と設定します。

```bash
$ cd ragflow/docker
@@ -162,8 +162,8 @@

| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |


+ 4
- 4
README_ko.md View File

@@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -149,7 +149,7 @@
> 모든 Docker 이미지는 x86 플랫폼을 위해 빌드되었습니다. 우리는 현재 ARM64 플랫폼을 위한 Docker 이미지를 제공하지 않습니다.
> ARM64 플랫폼을 사용 중이라면, [시스템과 호환되는 Docker 이미지를 빌드하려면 이 가이드를 사용해 주세요](https://ragflow.io/docs/dev/build_docker_image).

> 아래 명령어는 RAGFlow Docker 이미지의 v0.17.2-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.17.2-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.17.2을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2로 설정합니다.
> 아래 명령어는 RAGFlow Docker 이미지의 v0.18.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.18.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.18.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0로 설정합니다.

```bash
$ cd ragflow/docker
@@ -162,8 +162,8 @@

| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |


+ 4
- 4
README_pt_br.md View File

@@ -22,7 +22,7 @@
<img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Última%20Relese" alt="Última Versão">
@@ -169,7 +169,7 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
> Todas as imagens Docker são construídas para plataformas x86. Atualmente, não oferecemos imagens Docker para ARM64.
> Se você estiver usando uma plataforma ARM64, por favor, utilize [este guia](https://ragflow.io/docs/dev/build_docker_image) para construir uma imagem Docker compatível com o seu sistema.

> O comando abaixo baixa a edição `v0.17.2-slim` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.17.2-slim`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. Por exemplo: defina `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2` para a edição completa `v0.17.2`.
> O comando abaixo baixa a edição `v0.18.0-slim` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.18.0-slim`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. Por exemplo: defina `RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0` para a edição completa `v0.18.0`.

```bash
$ cd ragflow/docker
@@ -182,8 +182,8 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).

| Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? |
| --------------------- | ---------------------- | ------------------------------- | ------------------------ |
| v0.17.2 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.17.2-slim | ~2 | ❌ | Lançamento estável |
| v0.18.0 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.18.0-slim | ~2 | ❌ | Lançamento estável |
| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
| nightly-slim | ~2 | ❌ | _Instável_ build noturno |


+ 4
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README_tzh.md View File

@@ -21,7 +21,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -148,7 +148,7 @@
> 所有 Docker 映像檔都是為 x86 平台建置的。目前，我們不提供 ARM64 平台的 Docker 映像檔。
> 如果您使用的是 ARM64 平台，請使用 [這份指南](https://ragflow.io/docs/dev/build_docker_image) 來建置適合您系統的 Docker 映像檔。

> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.17.2-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.17.2-slim` 的 Docker 映像，請在執行 `docker compose` 啟動服務之前先更新 **docker/.env** 檔案內的 `RAGFLOW_IMAGE` 變數。例如，你可以透過設定 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2` 來下載 RAGFlow 鏡像的 `v0.17.2` 完整發行版。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.18.0-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.18.0-slim` 的 Docker 映像，請在執行 `docker compose` 啟動服務之前先更新 **docker/.env** 檔案內的 `RAGFLOW_IMAGE` 變數。例如，你可以透過設定 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0` 來下載 RAGFlow 鏡像的 `v0.18.0` 完整發行版。

```bash
$ cd ragflow/docker
@@ -161,8 +161,8 @@

| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |


+ 4
- 4
README_zh.md View File

@@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.17.2-brightgreen" alt="docker pull infiniflow/ragflow:v0.17.2">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.18.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.18.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@@ -149,7 +149,7 @@
> 请注意，目前官方提供的所有 Docker 镜像均基于 x86 架构构建，并不提供基于 ARM64 的 Docker 镜像。
> 如果你的操作系统是 ARM64 架构，请参考[这篇文档](https://ragflow.io/docs/dev/build_docker_image)自行构建 Docker 镜像。

> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.17.2-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.17.2-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:v0.17.2` 来下载 RAGFlow 镜像的 `v0.17.2` 完整发行版。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.18.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.18.0-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:v0.18.0` 来下载 RAGFlow 镜像的 `v0.18.0` 完整发行版。

```bash
$ cd ragflow/docker
@@ -162,8 +162,8 @@

| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.17.2 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.17.2-slim | &approx;2 | ❌ | Stable release |
| v0.18.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.18.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |


+ 4
- 4
docker/.env View File

@@ -80,13 +80,13 @@ REDIS_PASSWORD=infini_rag_flow
SVR_HTTP_PORT=9380

# The RAGFlow Docker image to download.
# Defaults to the v0.17.2-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2-slim
# Defaults to the v0.18.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0
#
# The Docker image of the v0.17.2 edition includes built-in embedding models:
# The Docker image of the v0.18.0 edition includes built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - maidalun1020/bce-embedding-base_v1


+ 2
- 2
docker/README.md View File

@@ -78,8 +78,8 @@ The [.env](./.env) file contains important environment variables for Docker.
- `RAGFLOW-IMAGE`
The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.2`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `maidalun1020/bce-embedding-base_v1`

+ 2
- 2
docs/configurations.md View File

@@ -99,8 +99,8 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
- `RAGFLOW-IMAGE`
The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.2`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `maidalun1020/bce-embedding-base_v1`

+ 1
- 1
docs/develop/build_docker_image.mdx View File

@@ -77,7 +77,7 @@ After building the infiniflow/ragflow:nightly-slim image, you are ready to launc

1. Edit Docker Compose Configuration

Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.17.2-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.18.0-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.


2. Launch the Service

+ 2
- 2
docs/develop/mcp.md View File

@@ -116,7 +116,7 @@ ragflow-server | / _, _// ___ |/ /_/ // __/ / // /_/ /| |/ |/ /
ragflow-server | /_/ |_|/_/ |_|\____//_/ /_/ \____/ |__/|__/
ragflow-server |
ragflow-server |
ragflow-server | 2025-04-18 15:41:29,088 INFO 27 RAGFlow version: v0.17.2-285-gb2c299fa full
ragflow-server | 2025-04-18 15:41:29,088 INFO 27 RAGFlow version: v0.18.0-285-gb2c299fa full
ragflow-server | 2025-04-18 15:41:29,088 INFO 27 project base: /ragflow
ragflow-server | 2025-04-18 15:41:29,088 INFO 27 Current configs, from /ragflow/conf/service_conf.yaml:
ragflow-server | ragflow: {'host': '0.0.0.0', 'http_port': 9380}
@@ -130,7 +130,7 @@ ragflow-server | / / / __ `/ ___/ //_/ / __/ | |/_/ _ \/ ___/ / / / __/ __ \
ragflow-server | / / / /_/ (__ ) ,< / /____> </ __/ /__/ /_/ / /_/ /_/ / /
ragflow-server | /_/ \__,_/____/_/|_| /_____/_/|_|\___/\___/\__,_/\__/\____/_/
ragflow-server |
ragflow-server | 2025-04-18 15:41:34,501 INFO 32 TaskExecutor: RAGFlow version: v0.17.2-285-gb2c299fa full
ragflow-server | 2025-04-18 15:41:34,501 INFO 32 TaskExecutor: RAGFlow version: v0.18.0-285-gb2c299fa full
ragflow-server | 2025-04-18 15:41:34,501 INFO 32 Use Elasticsearch http://es01:9200 as the doc engine.
...
```

+ 3
- 3
docs/faq.mdx View File

@@ -75,10 +75,10 @@ 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, `v0.17.2-slim` and `v0.17.2`:
RAGFlow offers two Docker image editions, `v0.18.0-slim` and `v0.18.0`:
- `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.17.2`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

+ 1
- 1
docs/guides/chat/start_chat.md View File

@@ -44,7 +44,7 @@ You start an AI conversation by creating an assistant.
- If **Rerank model** is selected, the hybrid score system uses keyword similarity and reranker score, and the default weight assigned to the reranker score is 1-0.7=0.3.
- **Variable** refers to the variables (keys) to be used in the system prompt. `{knowledge}` is a reserved variable. Click **Add** to add more variables for the system prompt.
- If you are uncertain about the logic behind **Variable**, leave it *as-is*.
- As of v0.17.2, if you add custom variables here, the only way you can pass in their values is to call:
- As of v0.18.0, if you add custom variables here, the only way you can pass in their values is to call:
- HTTP method [Converse with chat assistant](../../references/http_api_reference.md#converse-with-chat-assistant), or
- Python method [Converse with chat assistant](../../references/python_api_reference.md#converse-with-chat-assistant).


+ 1
- 1
docs/guides/dataset/configure_knowledge_base.md View File

@@ -124,7 +124,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.

## Search for knowledge base

As of RAGFlow v0.17.2, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.18.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.

![search knowledge base](https://github.com/infiniflow/ragflow/assets/93570324/836ae94c-2438-42be-879e-c7ad2a59693e)


+ 1
- 1
docs/guides/manage_files.md View File

@@ -87,4 +87,4 @@ RAGFlow's file management allows you to download an uploaded file:

![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5)

> As of RAGFlow v0.17.2, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.18.0, bulk download is not supported, nor can you download an entire folder.

+ 5
- 5
docs/guides/upgrade_ragflow.mdx View File

@@ -66,16 +66,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
git clone https://github.com/infiniflow/ragflow.git
```

2. Switch to the latest, officially published release, e.g., `v0.17.2`:
2. Switch to the latest, officially published release, e.g., `v0.18.0`:

```bash
git checkout -f v0.17.2
git checkout -f v0.18.0
```

3. Update **ragflow/docker/.env** as follows:

```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2
RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0
```

4. Update the RAGFlow image and restart RAGFlow:
@@ -92,10 +92,10 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
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.v0.17.2.tar infiniflow/ragflow:v0.17.2
docker save -o ragflow.v0.18.0.tar infiniflow/ragflow:v0.18.0
```
3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker:
```bash
docker load -i ragflow.v0.17.2.tar
docker load -i ragflow.v0.18.0.tar
```

+ 5
- 5
docs/quickstart.mdx View File

@@ -39,7 +39,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If

`vm.max_map_count`. This value sets the maximum number of memory map areas a process may have. Its default value is 65530. While most applications require fewer than a thousand maps, reducing this value can result in abnormal behaviors, and the system will throw out-of-memory errors when a process reaches the limitation.

RAGFlow v0.17.2 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.
RAGFlow v0.18.0 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.

<Tabs
defaultValue="linux"
@@ -179,13 +179,13 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
```bash
$ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow/docker
$ git checkout -f v0.17.2
$ git checkout -f v0.18.0
```

3. Use the pre-built Docker images and start up the server:

:::tip NOTE
The command below downloads the `v0.17.2-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.2-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:v0.17.2` for the full edition `v0.17.2`.
The command below downloads the `v0.18.0-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.18.0-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:v0.18.0` for the full edition `v0.18.0`.
:::

```bash
@@ -202,8 +202,8 @@ This section provides instructions on setting up the RAGFlow server on Linux. If

| RAGFlow image tag | Image size (GB) | Has embedding models and Python packages? | Stable? |
| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
| `v0.17.2` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.17.2-slim` | &approx;2 | ❌ | Stable release |
| `v0.18.0` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.18.0-slim` | &approx;2 | ❌ | Stable release |
| `nightly` | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| `nightly-slim` | &approx;2 | ❌ | *Unstable* nightly build |


+ 4
- 4
helm/values.yaml View File

@@ -27,13 +27,13 @@ env:
REDIS_PASSWORD: infini_rag_flow_helm

# The RAGFlow Docker image to download.
# Defaults to the v0.17.2-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.2-slim
# Defaults to the v0.18.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.18.0-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.17.2
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.18.0
#
# The Docker image of the v0.17.2 edition includes:
# The Docker image of the v0.18.0 edition includes:
# - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3

+ 1
- 1
pyproject.toml View File

@@ -1,6 +1,6 @@
[project]
name = "ragflow"
version = "0.17.2"
version = "0.18.0"
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" }

+ 1
- 1
sdk/python/pyproject.toml View File

@@ -1,6 +1,6 @@
[project]
name = "ragflow-sdk"
version = "0.17.2"
version = "0.18.0"
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" }

+ 1
- 1
sdk/python/uv.lock View File

@@ -311,7 +311,7 @@ wheels = [

[[package]]
name = "ragflow-sdk"
version = "0.17.2"
version = "0.18.0"
source = { virtual = "." }
dependencies = [
{ name = "beartype" },

+ 1
- 1
uv.lock View File

@@ -4777,7 +4777,7 @@ wheels = [

[[package]]
name = "ragflow"
version = "0.17.2"
version = "0.18.0"
source = { virtual = "." }
dependencies = [
{ name = "akshare" },

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