diff --git a/README.md b/README.md index 68ae70910..18c66c8a0 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.8.0 + docker pull infiniflow/ragflow:v0.9.0 license diff --git a/README_ja.md b/README_ja.md index b913a40d6..bbe4023d3 100644 --- a/README_ja.md +++ b/README_ja.md @@ -17,8 +17,8 @@ Static Badge - docker pull infiniflow/ragflow:v0.8.0 + docker pull infiniflow/ragflow:v0.9.0 license @@ -141,7 +141,7 @@ $ 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=v0.8.0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=v0.9.0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。 diff --git a/README_zh.md b/README_zh.md index 362db7063..d4e95da0c 100644 --- a/README_zh.md +++ b/README_zh.md @@ -17,7 +17,7 @@ Static Badge - docker pull infiniflow/ragflow:v0.8.0 + docker pull infiniflow/ragflow:v0.9.0 license @@ -140,7 +140,7 @@ $ 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=v0.8.0，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=v0.9.0，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。 @@ -202,7 +202,7 @@ ```bash $ git clone https://github.com/infiniflow/ragflow.git $ cd ragflow/ -$ docker build -t infiniflow/ragflow:v0.8.0 . +$ docker build -t infiniflow/ragflow:v0.9.0 . $ cd ragflow/docker $ chmod +x ./entrypoint.sh $ docker compose up -d diff --git a/api/db/services/document_service.py b/api/db/services/document_service.py index fa7a87ad3..0aaaacc2d 100644 --- a/api/db/services/document_service.py +++ b/api/db/services/document_service.py @@ -311,7 +311,8 @@ class DocumentService(CommonService): prg = 0 finished = True bad = 0 - status = d["run"]#TaskStatus.RUNNING.value + e, doc = DocumentService.get_by_id(d["id"]) + status = doc.run#TaskStatus.RUNNING.value for t in tsks: if 0 <= t.progress < 1: finished = False diff --git a/docs/guides/configure_knowledge_base.md b/docs/guides/configure_knowledge_base.md index 22650a0fb..7337dc097 100644 --- a/docs/guides/configure_knowledge_base.md +++ b/docs/guides/configure_knowledge_base.md @@ -128,7 +128,7 @@ RAGFlow uses multiple recall of both full-text search and vector search in its c ## Search for knowledge base -As of RAGFlow v0.8.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name. +As of RAGFlow v0.9.0, 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) diff --git a/docs/guides/manage_files.md b/docs/guides/manage_files.md index d1c5e20aa..50b791a4f 100644 --- a/docs/guides/manage_files.md +++ b/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 a specific folder -As of RAGFlow v0.8.0, this feature is *not* available. +As of RAGFlow v0.9.0, this feature is *not* available. ## Search files or folders -As of RAGFlow v0.8.0, 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 v0.9.0, 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 v0.8.0, bulk download is not supported, nor can you download an entire folder. +> As of RAGFlow v0.9.0, bulk download is not supported, nor can you download an entire folder. diff --git a/docs/quickstart.mdx b/docs/quickstart.mdx index 9a440601e..47db3c5c6 100644 --- a/docs/quickstart.mdx +++ b/docs/quickstart.mdx @@ -34,7 +34,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If `vm.max_map_count`. This value sets the maximum number of memory map areas a process may have. Its default value is 65530. While most applications require fewer than a thousand maps, reducing this value can result in abmornal behaviors, and the system will throw out-of-memory errors when a process reaches the limitation. - RAGFlow v0.8.0 uses Elasticsearch for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component. + RAGFlow v0.9.0 uses Elasticsearch for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component. 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=v0.8.0`, 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=v0.9.0`, before running the following commands. ```bash $ cd ragflow/docker