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 <[email protected]>

Author: JinHai-CN

README.md

@@ -17,9 +17,8 @@
     <a href="https://demo.ragflow.io" target="_blank">
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"></a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.6.0-brightgreen"
-            alt="docker pull infiniflow/ragflow:v0.6.0"></a>
-      <a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.7.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.7.0"></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=2e6cc4" alt="license">
   </a>
 </p>
@@ -53,6 +52,7 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
 
 ## 📌 Latest Updates
 
+- 2024-05-30 Integrates [BCE](https://github.com/netease-youdao/BCEmbedding), [BGE](https://github.com/FlagOpen/FlagEmbedding), and [Colbert](https://github.com/stanford-futuredata/ColBERT) reranker models.
 - 2024-05-28 Supports LLM Baichuan and VolcanoArk.
 - 2024-05-23 Supports [RAPTOR](https://arxiv.org/html/2401.18059v1) for better text retrieval.
 - 2024-05-21 Supports streaming output and text chunk retrieval API. 
@@ -141,7 +141,7 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
 
 3. Build the pre-built Docker images and start up the server:
 
-   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_VERSION` in **docker/.env** to the intended version, for example `RAGFLOW_VERSION=v0.6.0`, before running the following commands.
+   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_VERSION` in **docker/.env** to the intended version, for example `RAGFLOW_VERSION=v0.7.0`, before running the following commands.
 
    ```bash
    $ cd ragflow/docker

README_ja.md

@@ -17,8 +17,8 @@
     <a href="https://demo.ragflow.io" target="_blank">
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"></a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.6.0-brightgreen"
-            alt="docker pull infiniflow/ragflow:v0.6.0"></a>
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.7.0-brightgreen"
+            alt="docker pull infiniflow/ragflow:v0.7.0"></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=2e6cc4" alt="license">
   </a>
@@ -34,6 +34,7 @@
 
 ## 📌 最新情報
 
+- 2024-05-30 [BCE](https://github.com/netease-youdao/BCEmbedding)、[BGE](https://github.com/FlagOpen/FlagEmbedding)、[Colbert](https://github.com/stanford-futuredata/ColBERT) reranker を統合。
 - 2024-05-28 LLM BaichuanとVolcanoArkを統合しました。
 - 2024-05-23 より良いテキスト検索のために[RAPTOR](https://arxiv.org/html/2401.18059v1)をサポート。
 - 2024-05-21 ストリーミング出力とテキストチャンク取得APIをサポート。
@@ -130,7 +131,7 @@
    $ docker compose up -d
    ```
 
-   > 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=v0.6.0として、上記のコマンドを実行してください。
+   > 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=v0.7.0として、上記のコマンドを実行してください。
 
    > 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。
 
@@ -192,7 +193,7 @@
 ```bash
 $ git clone https://github.com/infiniflow/ragflow.git
 $ cd ragflow/
-$ docker build -t infiniflow/ragflow:v0.6.0 .
+$ docker build -t infiniflow/ragflow:v0.7.0 .
 $ cd ragflow/docker
 $ chmod +x ./entrypoint.sh
 $ docker compose up -d

README_zh.md

@@ -17,9 +17,8 @@
     <a href="https://demo.ragflow.io" target="_blank">
         <img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99"></a>
     <a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
-        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.6.0-brightgreen"
-            alt="docker pull infiniflow/ragflow:v0.6.0"></a>
-      <a href="https://github.com/infiniflow/ragflow/blob/main/LICENSE">
+        <img src="https://img.shields.io/badge/docker_pull-ragflow:v0.7.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.7.0"></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=2e6cc4" alt="license">
   </a>
 </p>
@@ -34,6 +33,7 @@
 
 ## 📌 近期更新
 
+- 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。
 - 2024-05-28 集成大模型 Baichuan 和火山方舟。
 - 2024-05-23 实现 [RAPTOR](https://arxiv.org/html/2401.18059v1) 提供更好的文本检索。
 - 2024-05-21 支持流式结果输出和文本块获取API。
@@ -128,7 +128,7 @@
    $ docker compose -f docker-compose-CN.yml up -d
    ```
 
-   > 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。
+   > 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。
 
    > 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。
 
@@ -190,7 +190,7 @@
 ```bash
 $ git clone https://github.com/infiniflow/ragflow.git
 $ cd ragflow/
-$ docker build -t infiniflow/ragflow:v0.6.0 .
+$ docker build -t infiniflow/ragflow:v0.7.0 .
 $ cd ragflow/docker
 $ chmod +x ./entrypoint.sh
 $ docker compose up -d

docker/.env

@@ -29,7 +29,7 @@ REDIS_PASSWORD=infini_rag_flow
 
 SVR_HTTP_PORT=9380
 
-RAGFLOW_VERSION=v0.6.0
+RAGFLOW_VERSION=v0.7.0
 
 TIMEZONE='Asia/Shanghai'
 

docs/guides/configure_knowledge_base.md

@@ -124,7 +124,7 @@ RAGFlow uses multiple recall of both full-text search and vector search in its c
 
 ## Search for knowledge base
 
-As of RAGFlow v0.6.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
+As of RAGFlow v0.7.0, 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)
 

docs/guides/manage_files.md

@@ -45,11 +45,11 @@ You can link your file to one knowledge base or multiple knowledge bases at one
 
 ## Move file to specified folder
 
-As of RAGFlow v0.6.0, this feature is *not* available.
+As of RAGFlow v0.7.0, this feature is *not* available.
 
 ## Search files or folders
 
-As of RAGFlow v0.6.0, the search feature is still in a rudimentary form, supporting only file and folder search in the current directory by name (files or folders in the child directory will not be retrieved).
+As of RAGFlow v0.7.0, the search feature is still in a rudimentary form, supporting only file and folder search in the current directory by name (files or folders in the child directory will not be retrieved).
 
 ![search file](https://github.com/infiniflow/ragflow/assets/93570324/77ffc2e5-bd80-4ed1-841f-068e664efffe)
 
@@ -81,4 +81,4 @@ RAGFlow's file management allows you to download an uploaded file:
 
 ![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5)
 
-> As of RAGFlow v0.6.0, bulk download is not supported, nor can you download an entire folder. 
+> As of RAGFlow v0.7.0, bulk download is not supported, nor can you download an entire folder. 

docs/quickstart.md

@@ -57,7 +57,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
 
 3. Build the pre-built Docker images and start up the server:
 
-   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_VERSION` in **docker/.env** to the intended version, for example `RAGFLOW_VERSION=v0.6.0`, before running the following commands.
+   > Running the following commands automatically downloads the *dev* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_VERSION` in **docker/.env** to the intended version, for example `RAGFLOW_VERSION=v0.7.0`, before running the following commands.
 
    ```bash
    $ cd ragflow/docker