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docs updates for 0.13 release (#3108)

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### What problem does this PR solve?



### Type of change

- [x] Documentation Update
This commit is contained in:
Kevin Hu
2024-10-30 19:29:27 +08:00
committed by GitHub
parent c6512e689b
commit 4d5354387b
7 changed files with 18 additions and 18 deletions
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2
docs/guides/configure_knowledge_base.md
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@ -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 v0.12.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.13.0, 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)

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docs/guides/manage_files.md
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@ -49,7 +49,7 @@ You can link your file to one knowledge base or multiple knowledge bases at one
## Search files or folders
As of RAGFlow v0.12.0, 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 v0.13.0, 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 v0.12.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.13.0, bulk download is not supported, nor can you download an entire folder.

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docs/quickstart.mdx
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@ -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 v0.12.0 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 v0.13.0 uses Elasticsearch for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.
<Tabs
defaultValue="linux"
@ -184,9 +184,9 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
$ docker compose -f docker-compose.yml up -d
```
> - To download a RAGFlow slim Docker image of a specific version, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0-slim`. After making this change, rerun the command above to initiate the download.
> - To download a RAGFlow slim Docker image of a specific version, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.13.0-slim`. After making this change, rerun the command above to initiate the download.
> - To download the dev version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlow_IMAGE` variable in **docker/.env** to `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. After making this change, rerun the command above to initiate the download.
> - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`. After making this change, rerun the command above to initiate the download.
> - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.13.0`. After making this change, rerun the command above to initiate the download.
:::tip NOTE
A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size and may take significantly longer time to load.