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Update README (#670)
### 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.md
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README.md
@ -58,14 +58,14 @@
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## 📌 Latest Features
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- 2024-04-26 Add file management.
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- 2024-04-19 Support conversation API ([detail](./docs/conversation_api.md)).
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- 2024-04-16 Add an embedding model 'bce-embedding-base_v1' from [BCEmbedding](https://github.com/netease-youdao/BCEmbedding).
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- 2024-04-16 Add [FastEmbed](https://github.com/qdrant/fastembed), which is designed specifically for light and speedy embedding.
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- 2024-04-11 Support [Xinference](./docs/xinference.md) for local LLM deployment.
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- 2024-04-10 Add a new layout recognization model for analyzing Laws documentation.
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- 2024-04-08 Support [Ollama](./docs/ollama.md) for local LLM deployment.
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- 2024-04-07 Support Chinese UI.
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- 2024-05-08 Integrates LLM DeepSeek.
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- 2024-04-26 Adds file management.
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- 2024-04-19 Supports conversation API ([detail](./docs/conversation_api.md)).
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- 2024-04-16 Integrates an embedding model 'bce-embedding-base_v1' from [BCEmbedding](https://github.com/netease-youdao/BCEmbedding), and [FastEmbed](https://github.com/qdrant/fastembed), which is designed specifically for light and speedy embedding.
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- 2024-04-11 Supports [Xinference](./docs/xinference.md) for local LLM deployment.
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- 2024-04-10 Adds a new layout recognition model for analyzing Laws documentation.
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- 2024-04-08 Supports [Ollama](./docs/ollama.md) for local LLM deployment.
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- 2024-04-07 Supports Chinese UI.
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## 🔎 System Architecture
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$ chmod +x ./entrypoint.sh
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$ docker compose up -d
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```
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> Please note that running the above commands will automatically download the development version docker image of RAGFlow. If you want to download and run a specific version of docker image, please find the RAGFLOW_VERSION variable in the docker/.env file, change it to the corresponding version, for example, RAGFLOW_VERSION=v0.5.0, and run the above commands.
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> The core image is about 9 GB in size and may take a while to load.
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@ -180,7 +181,7 @@ To build the Docker images from source:
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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:v0.5.0 .
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$ docker build -t infiniflow/ragflow:dev .
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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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## 📌 最新の機能
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- 2024-05-08
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- 2024-04-26 「ファイル管理」機能を追加しました。
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- 2024-04-19 会話 API をサポートします ([詳細](./docs/conversation_api.md))。
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- 2024-04-16 [BCEmbedding](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。
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$ docker compose up -d
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```
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> コアイメージのサイズは約 15 GB で、ロードに時間がかかる場合があります。
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> 上記のコマンドを実行すると、RAGFlowの開発版dockerイメージが自動的にダウンロードされます。 特定のバージョンのDockerイメージをダウンロードして実行したい場合は、docker/.envファイルのRAGFLOW_VERSION変数を見つけて、対応するバージョンに変更してください。 例えば、RAGFLOW_VERSION=v0.5.0として、上記のコマンドを実行してください。
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> コアイメージのサイズは約 9 GB で、ロードに時間がかかる場合があります。
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4. サーバーを立ち上げた後、サーバーの状態を確認する:
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@ -58,10 +58,10 @@
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## 📌 新增功能
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- 2024-05-08 集成大模型 DeepSeek
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- 2024-04-26 增添了'文件管理'功能.
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- 2024-04-19 支持对话 API ([更多](./docs/conversation_api.md)).
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- 2024-04-16 添加嵌入模型 [BCEmbedding](https://github.com/netease-youdao/BCEmbedding) 。
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- 2024-04-16 添加 [FastEmbed](https://github.com/qdrant/fastembed) 专为轻型和高速嵌入而设计。
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- 2024-04-16 集成嵌入模型 [BCEmbedding](https://github.com/netease-youdao/BCEmbedding) 和 专为轻型和高速嵌入而设计的 [FastEmbed](https://github.com/qdrant/fastembed) 。
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- 2024-04-11 支持用 [Xinference](./docs/xinference.md) 本地化部署大模型。
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- 2024-04-10 为‘Laws’版面分析增加了底层模型。
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- 2024-04-08 支持用 [Ollama](./docs/ollama.md) 本地化部署大模型。
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$ docker compose -f docker-compose-CN.yml up -d
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```
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> 核心镜像文件大约 15 GB，可能需要一定时间拉取。请耐心等待。
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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=v0.5.0，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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4. 服务器启动成功后再次确认服务器状态：
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