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Update README (#998)
### What problem does this PR solve? _Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._ ### Type of change - [x] Documentation Update --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
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README_zh.md
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README_zh.md
@ -17,9 +17,8 @@
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<a href="https://demo.ragflow.io" target="_blank">
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<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"></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:v0.6.0-brightgreen"
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alt="docker pull infiniflow/ragflow:v0.6.0"></a>
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<a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
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<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.7.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.7.0"></a>
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<a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
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<img height="21" src="https://img.shields.io/badge/License-Apache--2.0-ffffff?style=flat-square&labelColor=d4eaf7&color=2e6cc4" alt="license">
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</a>
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</p>
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## 📌 近期更新
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- 2024-05-30 集成 [BCE](https://github.com/netease-youdao/BCEmbedding), [BGE](https://github.com/FlagOpen/FlagEmbedding) 和 [Colbert](https://github.com/stanford-futuredata/ColBERT) 重排序模型。
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- 2024-05-28 集成大模型 Baichuan 和火山方舟。
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- 2024-05-23 实现 [RAPTOR](https://arxiv.org/html/2401.18059v1) 提供更好的文本检索。
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- 2024-05-21 支持流式结果输出和文本块获取API。
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$ docker compose -f docker-compose-CN.yml up -d
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```
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> 请注意,运行上述命令会自动下载 RAGFlow 的开发版本 docker 镜像。如果你想下载并运行特定版本的 docker 镜像,请在 docker/.env 文件中找到 RAGFLOW_VERSION 变量,将其改为对应版本。例如 RAGFLOW_VERSION=v0.6.0,然后运行上述命令。
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> 请注意,运行上述命令会自动下载 RAGFlow 的开发版本 docker 镜像。如果你想下载并运行特定版本的 docker 镜像,请在 docker/.env 文件中找到 RAGFLOW_VERSION 变量,将其改为对应版本。例如 RAGFLOW_VERSION=v0.7.0,然后运行上述命令。
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> 核心镜像文件大约 9 GB,可能需要一定时间拉取。请耐心等待。
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```bash
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$ git clone https://github.com/infiniflow/ragflow.git
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$ cd ragflow/
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$ docker build -t infiniflow/ragflow:v0.6.0 .
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$ docker build -t infiniflow/ragflow:v0.7.0 .
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$ cd ragflow/docker
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$ chmod +x ./entrypoint.sh
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$ docker compose up -d
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