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Preparation for release. (#4739)

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### Type of change

- [x] Documentation Update
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Kevin Hu 2025-02-06 15:15:13 +08:00 committed by GitHub
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8
README.md
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@ -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:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
</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">
@ -173,7 +173,7 @@ releases! 🌟
3. Start up the server using the pre-built Docker images:
> The command below downloads the `v0.15.1-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 `v0.15.1-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:v0.15.1` for the full edition `v0.15.1`.
> The command below downloads the `v0.16.0-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 `v0.16.0-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:v0.16.0` for the full edition `v0.16.0`.
```bash
$ cd ragflow
@ -182,8 +182,8 @@ releases! 🌟
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-slim | &approx;2 | ❌ | Stable release |
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-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
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@ -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:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
</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">
@ -166,7 +166,7 @@ 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 v0.15.1-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.15.1-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1 untuk edisi lengkap v0.15.1.
> Perintah di bawah ini mengunduh edisi v0.16.0-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.16.0-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0 untuk edisi lengkap v0.16.0.
```bash
$ cd ragflow
@ -175,8 +175,8 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-slim | &approx;2 | ❌ | Stable release |
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
README_ja.md
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@ -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:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
</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">
@ -146,7 +146,7 @@
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 v0.15.1-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。v0.15.1-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 v0.15.1 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1 と設定します。
> 以下のコマンドは、RAGFlow Docker イメージの v0.16.0-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。v0.16.0-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 v0.16.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0 と設定します。
```bash
$ cd ragflow
@ -155,8 +155,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-slim | &approx;2 | ❌ | Stable release |
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
README_ko.md
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@ -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:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
</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">
@ -147,7 +147,7 @@
3. 미리 빌드된 Docker 이미지를 생성하고 서버를 시작하세요:
> 아래 명령어는 RAGFlow Docker 이미지의 v0.15.1-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.15.1-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.15.1을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1로 설정합니다.
> 아래 명령어는 RAGFlow Docker 이미지의 v0.16.0-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.16.0-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.16.0을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0로 설정합니다.
```bash
$ cd ragflow
@ -156,8 +156,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-slim | &approx;2 | ❌ | Stable release |
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-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_pt_br.md
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@ -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:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
</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">
@ -166,7 +166,7 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
3. Inicie o servidor usando as imagens Docker pré-compiladas:
> O comando abaixo baixa a edição `v0.15.1-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 `v0.15.1-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:v0.15.1` para a edição completa `v0.15.1`.
> O comando abaixo baixa a edição `v0.16.0-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 `v0.16.0-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:v0.16.0` para a edição completa `v0.16.0`.
```bash
$ cd ragflow
@ -175,8 +175,8 @@ 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? |
| --------------------- | ---------------------- | ------------------------------- | ------------------------ |
| v0.15.1 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.15.1-slim | ~2 | ❌ | Lançamento estável |
| v0.16.0 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.16.0-slim | ~2 | ❌ | Lançamento estável |
| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
| nightly-slim | ~2 | ❌ | _Instável_ build noturno |

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README_tzh.md
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@ -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:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
</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">
@ -145,7 +145,7 @@
3. 進入 **docker** 資料夾，利用事先編譯好的 Docker 映像啟動伺服器：
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.15.1-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.15.1-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:v0.15.1` 來下載 RAGFlow 鏡像的 `v0.15.1` 完整發行版。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.16.0-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.16.0-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:v0.16.0` 來下載 RAGFlow 鏡像的 `v0.16.0` 完整發行版。
```bash
$ cd ragflow
@ -154,8 +154,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-slim | &approx;2 | ❌ | Stable release |
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
README_zh.md
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@ -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:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.16.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.16.0">
</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">
@ -146,7 +146,7 @@
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 `v0.15.1-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.15.1-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:v0.15.1` 来下载 RAGFlow 镜像的 `v0.15.1` 完整发行版。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.16.0-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.16.0-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:v0.16.0` 来下载 RAGFlow 镜像的 `v0.16.0` 完整发行版。
```bash
$ cd ragflow
@ -155,8 +155,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-slim | &approx;2 | ❌ | Stable release |
| v0.16.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.16.0-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

8
docker/.env
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@ -80,13 +80,13 @@ REDIS_PASSWORD=infini_rag_flow
SVR_HTTP_PORT=9380
# The RAGFlow Docker image to download.
# Defaults to the v0.15.1-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1-slim
# Defaults to the v0.16.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0
#
# The Docker image of the v0.15.1 edition includes:
# The Docker image of the v0.16.0 edition includes:
# - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3

4
docker/README.md
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@ -78,8 +78,8 @@ The [.env](./.env) file contains important environment variables for Docker.
- `RAGFLOW-IMAGE`
The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.15.1-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.15.1`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.16.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.16.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

2
docker/docker-compose-base.yml
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@ -39,7 +39,7 @@ services:
container_name: ragflow-infinity
profiles:
- infinity
image: infiniflow/infinity:v0.6.0-dev2
image: infiniflow/infinity:v0.6.0-dev3
volumes:
- infinity_data:/var/infinity
- ./infinity_conf.toml:/infinity_conf.toml

4
docs/configurations.md
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@ -97,8 +97,8 @@ The [.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env) file con
- `RAGFLOW-IMAGE`
The Docker image edition. Available editions:
- `infiniflow/ragflow:v0.15.1-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.15.1`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.16.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.16.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

2
docs/guides/configure_knowledge_base.md
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@ -128,7 +128,7 @@ RAGFlow uses multiple recall of both full-text search and vector search in its c
## Search for knowledge base
As of RAGFlow v0.15.1, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.16.0, 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)

2
docs/guides/manage_files.md
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@ -81,4 +81,4 @@ 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 v0.15.1, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.16.0, bulk download is not supported, nor can you download an entire folder.

6
docs/guides/upgrade_ragflow.mdx
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@ -62,16 +62,16 @@ 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., `v0.15.1`:
2. Switch to the latest, officially published release, e.g., `v0.16.0`:
```bash
git checkout -f v0.15.1
git checkout -f v0.16.0
```
3. Update **ragflow/docker/.env** as follows:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1
RAGFLOW_IMAGE=infiniflow/ragflow:v0.16.0
```
4. Update the RAGFlow image and restart RAGFlow:

10
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 v0.15.1 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 v0.16.0 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
$ git checkout -f v0.15.1
$ git checkout -f v0.16.0
```
3. Use the pre-built Docker images and start up the server:
:::tip NOTE
The command below downloads the `v0.15.1-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 `v0.15.1-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:v0.15.1` for the full edition `v0.15.1`.
The command below downloads the `v0.16.0-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 `v0.15.1-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:v0.15.1` for the full edition `v0.15.1`.
:::
```bash
@ -198,8 +198,8 @@ 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? |
| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
| `v0.15.1` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.15.1-slim` | &approx;2 | ❌ | Stable release |
| `v0.16.0` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.16.0-slim` | &approx;2 | ❌ | Stable release |
| `nightly` | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| `nightly-slim` | &approx;2 | ❌ | *Unstable* nightly build |

6
docs/references/faq.md
View File

@ -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, `v0.15.1-slim` and `v0.15.1`:
RAGFlow offers two Docker image editions, `v0.16.0-slim` and `v0.16.0`:
- `infiniflow/ragflow:v0.15.1-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.15.1`: The RAGFlow Docker image with embedding models including:
- `infiniflow/ragflow:v0.16.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.16.0`: The RAGFlow Docker image with embedding models including:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

8
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 v0.15.1-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.15.1-slim
# Defaults to the v0.16.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.16.0-slim
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.15.1
# RAGFLOW_IMAGE: infiniflow/ragflow:v0.16.0
#
# The Docker image of the v0.15.1 edition includes:
# The Docker image of the v0.16.0 edition includes:
# - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3

4
pyproject.toml
View File

@ -1,6 +1,6 @@
[project]
name = "ragflow"
version = "0.15.1"
version = "0.16.0"
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" }
@ -48,7 +48,7 @@ dependencies = [
"html-text==0.6.2",
"httpx==0.27.0",
"huggingface-hub>=0.25.0,<0.26.0",
"infinity-sdk==0.6.0-dev2",
"infinity-sdk==0.6.0-dev3",
"infinity-emb>=0.0.66,<0.0.67",
"itsdangerous==2.1.2",
"json-repair==0.35.0",

2
sdk/python/pyproject.toml
View File

@ -1,6 +1,6 @@
[project]
name = "ragflow-sdk"
version = "0.15.1"
version = "0.16.0"
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" }

8
sdk/python/uv.lock generated
View File

@ -12,11 +12,11 @@ wheels = [
[[package]]
name = "certifi"
version = "2024.12.14"
version = "2025.1.31"
source = { registry = "https://mirrors.pku.edu.cn/pypi/web/simple" }
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/0f/bd/1d41ee578ce09523c81a15426705dd20969f5abf006d1afe8aeff0dd776a/certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db" }
sdist = { url = "https://mirrors.pku.edu.cn/pypi/web/packages/1c/ab/c9f1e32b7b1bf505bf26f0ef697775960db7932abeb7b516de930ba2705f/certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651" }
wheels = [
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/a5/32/8f6669fc4798494966bf446c8c4a162e0b5d893dff088afddf76414f70e1/certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56" },
{ url = "https://mirrors.pku.edu.cn/pypi/web/packages/38/fc/bce832fd4fd99766c04d1ee0eead6b0ec6486fb100ae5e74c1d91292b982/certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe" },
]
[[package]]
@ -140,7 +140,7 @@ wheels = [
[[package]]
name = "ragflow-sdk"
version = "0.15.1"
version = "0.16.0"
source = { virtual = "." }
dependencies = [
{ name = "beartype" },

363
uv.lock generated
View File

@ -41,7 +41,7 @@ wheels = [
[[package]]
name = "aiohttp"
version = "3.11.11"
version = "3.11.12"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
@ -53,53 +53,56 @@ dependencies = [
{ name = "propcache" },
{ name = "yarl" },
]
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