mirror of
https://github.com/infiniflow/ragflow.git
synced 2025-12-08 20:42:30 +08:00
Restore version info to v0.13.0 (#3605)
### 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>
This commit is contained in:
@ -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 v0.14.0, 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.
|
||||
|
||||

|
||||
|
||||
|
||||
@ -81,4 +81,4 @@ RAGFlow's file management allows you to download an uploaded file:
|
||||
|
||||

|
||||
|
||||
> As of RAGFlow v0.14.0, 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.
|
||||
|
||||
@ -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., `v0.14.0`:
|
||||
2. Switch to the latest, officially published release, e.g., `v0.13.0`:
|
||||
|
||||
```bash
|
||||
git checkout v0.14.0
|
||||
git checkout v0.13.0
|
||||
```
|
||||
|
||||
3. Update **ragflow/docker/.env** as follows:
|
||||
|
||||
@ -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 v0.14.0 uses Elasticsearch for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.
|
||||
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:v0.14.0-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:v0.14.0`. 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.
|
||||
|
||||
Reference in New Issue
Block a user