瀏覽代碼

Update version info (#4232)

### 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>
tags/nightly
Jin Hai 10 月之前
父節點
當前提交
fe279754ac
沒有連結到貢獻者的電子郵件帳戶。

+ 4
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README.md 查看文件

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <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>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">


3. Start up the server using the pre-built Docker images: 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 ```bash
$ cd ragflow $ cd ragflow


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | 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 | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| nightly-slim | &approx;2 | ❌ | *Unstable* nightly build | | nightly-slim | &approx;2 | ❌ | *Unstable* nightly build |



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README_id.md 查看文件

<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <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>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">


3. Bangun image Docker pre-built dan jalankan server: 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 ```bash
$ cd ragflow $ cd ragflow


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | 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 | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| nightly-slim | &approx;2 | ❌ | *Unstable* nightly build | | nightly-slim | &approx;2 | ❌ | *Unstable* nightly build |



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README_ja.md 查看文件

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <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>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">


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: 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 ```bash
$ cd ragflow $ cd ragflow


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | 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 | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| nightly-slim | &approx;2 | ❌ | *Unstable* nightly build | | nightly-slim | &approx;2 | ❌ | *Unstable* nightly build |



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README_ko.md 查看文件

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <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>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">


3. 미리 빌드된 Docker 이미지를 생성하고 서버를 시작하세요: 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 ```bash
$ cd ragflow $ cd ragflow


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | 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 | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| nightly-slim | &approx;2 | ❌ | *Unstable* nightly build | | nightly-slim | &approx;2 | ❌ | *Unstable* nightly build |



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README_zh.md 查看文件

<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"> <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a> </a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank"> <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>
<a href="https://github.com/infiniflow/ragflow/releases/latest"> <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"> <img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">


3. 进入 **docker** 文件夹,利用提前编译好的 Docker 镜像启动服务器: 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 ```bash
$ cd ragflow $ cd ragflow


| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? | | 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 | &approx;9 | :heavy_check_mark: | *Unstable* nightly build |
| nightly-slim | &approx;2 | ❌ | *Unstable* nightly build | | nightly-slim | &approx;2 | ❌ | *Unstable* nightly build |



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docker/.env 查看文件

SVR_HTTP_PORT=9380 SVR_HTTP_PORT=9380


# The RAGFlow Docker image to download. # 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: # 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: # - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5 # - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3 # - BAAI/bge-reranker-v2-m3

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docker/README.md 查看文件

- `RAGFLOW-IMAGE` - `RAGFLOW-IMAGE`
The Docker image edition. Available editions: 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: - Built-in embedding models:
- `BAAI/bge-large-zh-v1.5` - `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3` - `BAAI/bge-reranker-v2-m3`

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docs/configurations.md 查看文件

- `RAGFLOW-IMAGE` - `RAGFLOW-IMAGE`
The Docker image edition. Available editions: 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: - Built-in embedding models:
- `BAAI/bge-large-zh-v1.5` - `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3` - `BAAI/bge-reranker-v2-m3`

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docs/guides/configure_knowledge_base.md 查看文件



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



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docs/guides/manage_files.md 查看文件



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

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docs/guides/upgrade_ragflow.mdx 查看文件

git clone https://github.com/infiniflow/ragflow.git 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 ```bash
git checkout -f v0.15.0
git checkout -f v0.15.1
``` ```


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


```bash ```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.15.1
``` ```


4. Update the RAGFlow image and restart RAGFlow: 4. Update the RAGFlow image and restart RAGFlow:

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docs/quickstart.mdx 查看文件



`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. `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 <Tabs
defaultValue="linux" defaultValue="linux"
```bash ```bash
$ git clone https://github.com/infiniflow/ragflow.git $ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow $ 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: 3. Use the pre-built Docker images and start up the server:


:::tip NOTE :::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 ```bash


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



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docs/references/faq.md 查看文件



### Which embedding models can be deployed locally? ### 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: - Built-in embedding models:
- `BAAI/bge-large-zh-v1.5` - `BAAI/bge-large-zh-v1.5`
- `BAAI/bge-reranker-v2-m3` - `BAAI/bge-reranker-v2-m3`

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helm/values.yaml 查看文件

REDIS_PASSWORD: infini_rag_flow_helm REDIS_PASSWORD: infini_rag_flow_helm


# The RAGFlow Docker image to download. # 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: # 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: # - Built-in embedding models:
# - BAAI/bge-large-zh-v1.5 # - BAAI/bge-large-zh-v1.5
# - BAAI/bge-reranker-v2-m3 # - BAAI/bge-reranker-v2-m3

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