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Update version info (#4232)

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### What problem does this PR solve?

Update version info to 0.15.1

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
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Jin Hai 2024-12-26 12:15:28 +08:00 committed by GitHub
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8
README.md
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@ -20,7 +20,7 @@
<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:v0.15.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
</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">
@ -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 `v0.15.0-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`.
> 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`.
```bash
$ cd ragflow
@ -177,8 +177,8 @@ releases! 🌟
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.0-slim | &approx;2 | ❌ | Stable release |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| nightly-slim | &approx;2 | ❌ | *Unstable* nightly build |

8
README_id.md
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@ -20,7 +20,7 @@
<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:v0.15.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
</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">
@ -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 v0.15.0-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.
> 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.
```bash
$ cd ragflow
@ -170,8 +170,8 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.0-slim | &approx;2 | ❌ | Stable release |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-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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@ -20,7 +20,7 @@
<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:v0.15.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
</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">
@ -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 v0.15.0 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0 と設定します。
> 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。
```bash
$ cd ragflow
@ -151,8 +151,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.0-slim | &approx;2 | ❌ | Stable release |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-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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@ -20,7 +20,7 @@
<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:v0.15.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
</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 v0.15.0-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.
> 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.
```bash
$ cd ragflow
@ -156,8 +156,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.0-slim | &approx;2 | ❌ | Stable release |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-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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@ -20,7 +20,7 @@
<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:v0.15.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.0">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.15.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.15.1">
</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">
@ -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:v0.15.0` 来下载 RAGFlow 镜像的 `v0.15.0` 完整发行版。
> 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。
```bash
$ cd ragflow
@ -152,8 +152,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.15.0 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.0-slim | &approx;2 | ❌ | Stable release |
| v0.15.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.15.1-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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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 v0.15.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0-slim
# 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
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1
#
# The Docker image of the v0.15.0 edition includes:
# The Docker image of the v0.15.1 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:v0.15.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.15.0`: The RAGFlow Docker image with embedding models including:
- `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:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

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:v0.15.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.15.0`: The RAGFlow Docker image with embedding models including:
- `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:
- 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 v0.15.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.15.1, 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 v0.15.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.15.1, 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., `v0.15.0`:
2. Switch to the latest, officially published release, e.g., `v0.15.1`:
```bash
git checkout -f v0.15.0
git checkout -f v0.15.1
```
3. Update **ragflow/docker/.env** as follows:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1
```
4. Update the RAGFlow image and restart RAGFlow:

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docs/quickstart.mdx
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@ -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 v0.15.0 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.
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.
<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 v0.15.0
$ git checkout -f v0.15.1
```
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 `v0.15.0-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`.
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`.
:::
```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? |
| ------------------- | --------------- | ----------------------------------------- | ------------------------ |
| `v0.15.0` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.15.0-slim` | &approx;2 | ❌ | Stable release |
| `v0.15.1` | &approx;9 | :heavy_check_mark: | Stable release |
| `v0.15.1-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
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@ -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, `v0.15.0-slim` and `v0.15.0`:
RAGFlow offers two Docker image editions, `v0.15.1-slim` and `v0.15.1`:
- `infiniflow/ragflow:v0.15.0-slim` (default): The RAGFlow Docker image without embedding models.
- `infiniflow/ragflow:v0.15.0`: The RAGFlow Docker image with embedding models including:
- `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:
- Built-in embedding models:
- `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3`

8
helm/values.yaml
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@ -27,13 +27,13 @@ env:
REDIS_PASSWORD: infini_rag_flow_helm
# The RAGFlow Docker image to download.
# Defaults to the v0.15.0-slim edition, which is the RAGFlow Docker image without embedding models.
RAGFLOW_IMAGE: infiniflow/ragflow:v0.15.0-slim
# 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
#
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0
# RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1
#
# The Docker image of the v0.15.0 edition includes:
# The Docker image of the v0.15.1 edition includes:
# - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3