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Update version info to v0.14.1 (#3720)
### What problem does this PR solve? Update version info to v0.14.1 ### Type of change - [x] Documentation Update --------- Signed-off-by: jinhai <[email protected]>
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‎README.md

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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.1">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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```
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> - To download a RAGFlow slim Docker image of a specific version, update the `RAGFLOW_IMAGE` variable in *
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*docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0-slim`. After
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*docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`. After
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making this change, rerun the command above to initiate the download.
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> - To download the dev version of RAGFlow Docker image *including* embedding models and Python libraries, update the
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`RAGFLOW_IMAGE` variable in **docker/.env** to `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. After making this change,
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rerun the command above to initiate the download.
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> - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update
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the `RAGFLOW_IMAGE` variable in **docker/.env** to your desired version. For example,
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`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0`. After making this change, rerun the command above to initiate the
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`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`. After making this change, rerun the command above to initiate the
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download.
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> **NOTE:** A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size

‎README_id.md

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<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.1">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
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```
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> - Untuk mengunduh versi tertentu dari image Docker RAGFlow slim, perbarui variabel `RAGFlow_IMAGE` di *
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*docker/.env** sesuai dengan versi yang diinginkan. Misalnya, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0-slim`.
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*docker/.env** sesuai dengan versi yang diinginkan. Misalnya, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`.
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Setelah mengubah ini, jalankan ulang perintah di atas untuk memulai unduhan.
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> - Untuk mengunduh versi dev dari image Docker RAGFlow *termasuk* model embedding dan library Python, perbarui
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variabel `RAGFlow_IMAGE` di **docker/.env** menjadi `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. Setelah mengubah ini,
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jalankan ulang perintah di atas untuk memulai unduhan.
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> - Untuk mengunduh versi tertentu dari image Docker RAGFlow *termasuk* model embedding dan library Python, perbarui
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variabel `RAGFlow_IMAGE` di **docker/.env** sesuai dengan versi yang diinginkan. Misalnya,
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`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0`. Setelah mengubah ini, jalankan ulang perintah di atas untuk memulai unduhan.
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`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`. Setelah mengubah ini, jalankan ulang perintah di atas untuk memulai unduhan.
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> **CATATAN:** Image Docker RAGFlow yang mencakup model embedding dan library Python berukuran sekitar 9GB
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dan mungkin memerlukan waktu lebih lama untuk dimuat.

‎README_ja.md

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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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</a>
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.1">
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</a>
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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$ docker compose -f docker-compose.yml up -d
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```
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> - 特定のバージョンのRAGFlow slim Dockerイメージをダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を希望のバージョンに更新します。例えば、`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0`とします。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。
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> - 特定のバージョンのRAGFlow slim Dockerイメージをダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を希望のバージョンに更新します。例えば、`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`とします。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。
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> - RAGFlowの埋め込みモデルとPythonライブラリを含む開発版Dockerイメージをダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を`RAGFLOW_IMAGE=infiniflow/ragflow:dev`に更新します。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。
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> - 特定のバージョンのRAGFlow Dockerイメージ（埋め込みモデルとPythonライブラリを含む）をダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を希望のバージョンに更新します。例えば、`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0`とします。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。
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> - 特定のバージョンのRAGFlow Dockerイメージ（埋め込みモデルとPythonライブラリを含む）をダウンロードするには、**docker/.env**内の`RAGFlow_IMAGE`変数を希望のバージョンに更新します。例えば、`RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`とします。この変更を行った後、上記のコマンドを再実行してダウンロードを開始してください。
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> **NOTE:** 埋め込みモデルとPythonライブラリを含むRAGFlow Dockerイメージのサイズは約9GBであり、読み込みにかなりの時間がかかる場合があります。
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‎README_ko.md

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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.1">
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
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$ docker compose -f docker-compose.yml up -d
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```
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> - 특정 버전의 RAGFlow slim Docker 이미지를 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 원하는 버전으로 업데이트하세요. 예를 들어, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0-slim`으로 설정합니다. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.
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> - 특정 버전의 RAGFlow slim Docker 이미지를 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 원하는 버전으로 업데이트하세요. 예를 들어, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`으로 설정합니다. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.
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> - RAGFlow의 임베딩 모델과 Python 라이브러리를 포함한 개발 버전 Docker 이미지를 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 `RAGFLOW_IMAGE=infiniflow/ragflow:dev`로 업데이트하세요. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.
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> - 특정 버전의 RAGFlow Docker 이미지를 임베딩 모델과 Python 라이브러리를 포함하여 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 원하는 버전으로 업데이트하세요. 예를 들어, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0` 로 설정합니다. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.
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> - 특정 버전의 RAGFlow Docker 이미지를 임베딩 모델과 Python 라이브러리를 포함하여 다운로드하려면, **docker/.env**에서 `RAGFlow_IMAGE` 변수를 원하는 버전으로 업데이트하세요. 예를 들어, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1` 로 설정합니다. 이 변경을 완료한 후, 위의 명령을 다시 실행하여 다운로드를 시작하세요.
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> **NOTE:** 임베딩 모델과 Python 라이브러리를 포함한 RAGFlow Docker 이미지의 크기는 약 9GB이며, 로드하는 데 상당히 오랜 시간이 걸릴 수 있습니다.
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‎README_zh.md

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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
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<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.0">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.14.1-brightgreen" alt="docker pull infiniflow/ragflow:v0.14.1">
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<a href="https://github.com/infiniflow/ragflow/releases/latest">
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> - 如果你想下载并运行特定版本的 RAGFlow slim Docker 镜像，请在 **docker/.env** 文件中找到 `RAGFLOW_IMAGE` 变量，将其改为对应版本。例如 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0-slim`，然后再运行上述命令。
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> - 如果你想下载并运行特定版本的 RAGFlow slim Docker 镜像，请在 **docker/.env** 文件中找到 `RAGFLOW_IMAGE` 变量，将其改为对应版本。例如 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1-slim`，然后再运行上述命令。
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> - 如果您想安装内置 embedding 模型和 Python 库的 dev 版本的 Docker 镜像，需要将 **docker/.env** 文件中的 `RAGFLOW_IMAGE` 变量修改为： `RAGFLOW_IMAGE=infiniflow/ragflow:dev`。
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> - 如果您想安装内置 embedding 模型和 Python 库的指定版本的 RAGFlow Docker 镜像，需要将 **docker/.env** 文件中的 `RAGFLOW_IMAGE` 变量修改为： `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.0`。修改后，再运行上面的命令。
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> - 如果您想安装内置 embedding 模型和 Python 库的指定版本的 RAGFlow Docker 镜像，需要将 **docker/.env** 文件中的 `RAGFLOW_IMAGE` 变量修改为： `RAGFLOW_IMAGE=infiniflow/ragflow:v0.14.1`。修改后，再运行上面的命令。
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> **注意：** 安装内置 embedding 模型和 Python 库的指定版本的 RAGFlow Docker 镜像大小约 9 GB，可能需要更长时间下载，请耐心等待。
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4. 服务器启动成功后再次确认服务器状态：

‎docs/guides/configure_knowledge_base.md

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2. Hover over each snapshot for a quick view of each chunk.
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3. Double-click the chunked texts to add keywords or make *manual* changes where necessary:
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![update chunk](https://github.com/infiniflow/ragflow/assets/93570324/1d84b408-4e9f-46fd-9413-8c1059bf9c76)
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:::caution NOTE
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You can add keywords to a file chunk to increase its ranking for queries containing those keywords. This action increases its keyword weight and can improve its position in search list.
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:::
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4. In Retrieval testing, ask a quick question in **Test text** to double check if your configurations work:
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4. In Retrieval testing, ask a quick question in **Test text** to double-check if your configurations work:
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_As you can tell from the following, RAGFlow responds with truthful citations._
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## Search for knowledge base
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As of RAGFlow v0.14.1, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
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![search knowledge base](https://github.com/infiniflow/ragflow/assets/93570324/836ae94c-2438-42be-879e-c7ad2a59693e)
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‎docs/guides/deploy_local_llm.mdx

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‎docs/guides/develop/acquire_ragflow_api_key.md

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‎docs/guides/manage_files.md

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![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5)
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> As of RAGFlow v0.14.0, bulk download is not supported, nor can you download an entire folder.
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> As of RAGFlow v0.14.1, bulk download is not supported, nor can you download an entire folder.

‎docs/guides/manage_team_members.md

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![team](https://github.com/user-attachments/assets/0eac2503-26bc-4568-b3f2-bcd84069a07a)
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