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Update docs for v0.14.0 (#3625)

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### What problem does this PR solve?


### Type of change

- [x] Documentation Update
This commit is contained in:
Kevin Hu
2024-11-25 11:37:56 +08:00
committed by GitHub
parent 609236f5c1
commit e5af18d5ea
10 changed files with 23 additions and 22 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 v0.13.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.14.0, 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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@ -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 v0.13.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.14.0, bulk download is not supported, nor can you download an entire folder.

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docs/guides/upgrade_ragflow.mdx
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@ -36,10 +36,10 @@ import TabItem from '@theme/TabItem';
git clone https://github.com/infiniflow/ragflow.git
```
2. Switch to the latest, officially published release, e.g., `v0.13.0`:
2. Switch to the latest, officially published release, e.g., `v0.14.0`:
```bash
git checkout v0.13.0
git checkout v0.14.0
```
3. Update **ragflow/docker/.env** as follows:

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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 v0.13.0 uses Elasticsearch for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.
RAGFlow v0.14.0 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:v0.13.0-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:v0.14.0-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:v0.13.0`. 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:v0.14.0`. 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.