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change version number in readme (#390)
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### What problem does this PR solve?


### Type of change

- [x] Documentation Update
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KevinHuSh committed Apr 16, 2024
1 parent e0bdcbb commit b384313
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6 changes: 3 additions & 3 deletions README.md
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<img alt="Static Badge" src="https://img.shields.io/badge/RAGFLOW-LLM-white?&labelColor=dd0af7"></a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v1.0-brightgreen"
alt="docker pull infiniflow/ragflow:v0.1.0"></a>
alt="docker pull infiniflow/ragflow:v0.2.0"></a>
<a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
<img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
</a>
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## 📌 Latest Features

- 2024-04-16 Add an embedding model 'bce-embedding-base_v1' from [QAnything](https://github.com/netease-youdao/QAnything).
- 2024-04-16 Add an embedding model 'bce-embedding-base_v1' from [QAnything](https://github.com/netease-youdao/BCEmbedding).
- 2024-04-16 Add [FastEmbed](https://github.com/qdrant/fastembed) is designed for light and speeding embedding.
- 2024-04-11 Support [Xinference](./docs/xinference.md) for local LLM deployment.
- 2024-04-10 Add a new layout recognization model for analyzing Laws documentation.
Expand Down Expand Up @@ -173,7 +173,7 @@ To build the Docker images from source:
```bash
$ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow/
$ docker build -t infiniflow/ragflow:v0.1.0 .
$ docker build -t infiniflow/ragflow:v0.2.0 .
$ cd ragflow/docker
$ chmod +x ./entrypoint.sh
$ docker compose up -d
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6 changes: 3 additions & 3 deletions README_ja.md
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<img alt="Static Badge" src="https://img.shields.io/badge/RAGFLOW-LLM-white?&labelColor=dd0af7"></a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v1.0-brightgreen"
alt="docker pull infiniflow/ragflow:v0.1.0"></a>
alt="docker pull infiniflow/ragflow:v0.2.0"></a>
<a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
<img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
</a>
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## 📌 最新の機能

- 2024-04-16 [QAnything](https://github.com/netease-youdao/QAnything) から埋め込みモデル「bce-embedding-base_v1」を追加します。
- 2024-04-16 [QAnything](https://github.com/netease-youdao/BCEmbedding) から埋め込みモデル「bce-embedding-base_v1」を追加します。
- 2024-04-16 [FastEmbed](https://github.com/qdrant/fastembed) は、軽量かつ高速な埋め込み用に設計されています。
- 2024-04-11 ローカル LLM デプロイメント用に [Xinference](./docs/xinference.md) をサポートします。
- 2024-04-10 メソッド「Laws」に新しいレイアウト認識モデルを追加します。
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```bash
$ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow/
$ docker build -t infiniflow/ragflow:v0.1.0 .
$ docker build -t infiniflow/ragflow:v0.2.0 .
$ cd ragflow/docker
$ chmod +x ./entrypoint.sh
$ docker compose up -d
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6 changes: 3 additions & 3 deletions README_zh.md
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<img alt="Static Badge" src="https://img.shields.io/badge/RAGFLOW-LLM-white?&labelColor=dd0af7"></a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v1.0-brightgreen"
alt="docker pull infiniflow/ragflow:v0.1.0"></a>
alt="docker pull infiniflow/ragflow:v0.2.0"></a>
<a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
<img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=7d09f1" alt="license">
</a>
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## 📌 新增功能

- 2024-04-16 添加嵌入模型 [QAnything的bce-embedding-base_v1](https://github.com/netease-youdao/QAnything)
- 2024-04-16 添加嵌入模型 [QAnything的bce-embedding-base_v1](https://github.com/netease-youdao/BCEmbedding)
- 2024-04-16 添加 [FastEmbed](https://github.com/qdrant/fastembed) 专为轻型和高速嵌入而设计。
- 2024-04-11 支持用 [Xinference](./docs/xinference.md) 本地化部署大模型。
- 2024-04-10 为‘Laws’版面分析增加了底层模型。
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```bash
$ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow/
$ docker build -t infiniflow/ragflow:v0.1.0 .
$ docker build -t infiniflow/ragflow:v0.2.0 .
$ cd ragflow/docker
$ chmod +x ./entrypoint.sh
$ docker compose up -d
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2 changes: 1 addition & 1 deletion docker/docker-compose-CN.yml
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condition: service_healthy
es01:
condition: service_healthy
image: swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v0.1.0
image: swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:v0.2.0
container_name: ragflow-server
ports:
- ${SVR_HTTP_PORT}:9380
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2 changes: 1 addition & 1 deletion docker/docker-compose.yml
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condition: service_healthy
es01:
condition: service_healthy
image: infiniflow/ragflow:v0.1.0
image: infiniflow/ragflow:v0.2.0
container_name: ragflow-server
ports:
- ${SVR_HTTP_PORT}:9380
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