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Docs: Update version references to v0.26.1 in READMEs and docs (#16158)

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### What problem does this PR solve?

- Update version tags in README files (including translations) from
v0.26.0 to v0.26.1
- Modify Docker image references and documentation to reflect new
version
- Update version badges and image descriptions
- Maintain consistency across all language variants of README files

### Type of change

- [x] Documentation Update
This commit is contained in:
Liu An
2026-06-17 19:35:32 +08:00
committed by GitHub
parent 7d3928e501
commit 4379269374
35 changed files with 84 additions and 84 deletions
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2
docs/administrator/admin/ragflow_cli.md
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@@ -16,7 +16,7 @@ The RAGFlow CLI is a command-line-based system administration tool that offers a
2. Install ragflow-cli.
```bash
pip install ragflow-cli==0.26.0
pip install ragflow-cli==0.26.1
```
3. Launch the CLI client:

2
docs/administrator/configurations/configurations.md
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@@ -103,7 +103,7 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
- `SVR_HTTP_PORT`
The port used to expose RAGFlow's HTTP API service to the host machine, allowing **external** access to the service running inside the Docker container. Defaults to `9380`.
- `RAGFLOW_IMAGE`
The Docker image edition. Defaults to `infiniflow/ragflow:v0.26.0` (the RAGFlow Docker image without embedding models).
The Docker image edition. Defaults to `infiniflow/ragflow:v0.26.1` (the RAGFlow Docker image without embedding models).
:::tip NOTE
If you cannot download the RAGFlow Docker image, try the following mirrors.

2
docs/administrator/migration/database_schema_and_migration.md
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@@ -43,7 +43,7 @@ The [db_schema_sync.py](https://github.com/infiniflow/ragflow/blob/main/tools/sc
### Key functions
- **Change detection**: Compares Python model definitions in `api/db/db_models.py` against the live database to identify new tables, added fields, or type mismatches.
- **Migration generation**: Automatically creates Python migration files (containing `migrate()` and `rollback()` logic) in version-specific directories (e.g., `tools/migrate/v0_26_0/`).
- **Migration generation**: Automatically creates Python migration files (containing `migrate()` and `rollback()` logic) in version-specific directories (e.g., `tools/migrate/v0_26_1/`).
- **Schema auditing**: Provides a `--diff` command to view structural discrepancies without applying changes.
- **Execution management**: Applies pending migrations to the database to bring it up to date with the current software version.
- **Safety controls**: Prevents accidental data loss by requiring an explicit `--drop` flag to generate `DROP COLUMN` statements for removed fields.

10
docs/administrator/upgrade_ragflow.mdx
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@@ -62,16 +62,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
git pull
```
3. Switch to the latest, officially published release, e.g., `v0.26.0`:
3. Switch to the latest, officially published release, e.g., `v0.26.1`:
```bash
git checkout -f v0.26.0
git checkout -f v0.26.1
```
4. Update **ragflow/docker/.env**:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.26.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.26.1
```
5. Update the RAGFlow image and restart RAGFlow:
@@ -92,10 +92,10 @@ No, you do not need to. Upgrading RAGFlow in itself will *not* remove your uploa
1. From an environment with Internet access, pull the required Docker image.
2. Save the Docker image to a **.tar** file.
```bash
docker save -o ragflow.v0.26.0.tar infiniflow/ragflow:v0.26.0
docker save -o ragflow.v0.26.1.tar infiniflow/ragflow:v0.26.1
```
3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker:
```bash
docker load -i ragflow.v0.26.0.tar
docker load -i ragflow.v0.26.1.tar
```

2
docs/develop/build_docker_image.mdx
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@@ -49,7 +49,7 @@ After building the infiniflow/ragflow:nightly image, you are ready to launch a f
1. Edit Docker Compose Configuration
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.26.0` to `infiniflow/ragflow:nightly` to use the pre-built image.
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.26.1` to `infiniflow/ragflow:nightly` to use the pre-built image.
2. Launch the Service

6
docs/faq.mdx
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@@ -147,12 +147,12 @@ When debugging your chat assistant, you can use AI search as a reference to veri
---
### Get a `Request error 404: undefined` when upgrading to v0.26.0
### Get a `Request error 404: undefined` when upgrading to v0.26.1
To resolve this issue, do either of the following:
- Pull the latest source code from the [main branch](https://github.com/infiniflow/ragflow), then pull and start the v0.26.0 image.
- Update `RAGFLOW_IMAGE` from `infiniflow/ragflow:latest` to `infiniflow/ragflow:v0.26.0` in the [.env file](https://github.com/infiniflow/ragflow/blob/main/docker/.env), then restart the service.
- Pull the latest source code from the [main branch](https://github.com/infiniflow/ragflow), then pull and start the v0.26.1 image.
- Update `RAGFLOW_IMAGE` from `infiniflow/ragflow:latest` to `infiniflow/ragflow:v0.26.1` in the [.env file](https://github.com/infiniflow/ragflow/blob/main/docker/.env), then restart the service.
### How to build the RAGFlow image from scratch?

2
docs/guides/dataset/configure_knowledge_base.md
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@@ -135,7 +135,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
## Search for dataset
As of RAGFlow v0.26.0, the search feature is still in a rudimentary form, supporting only dataset search by name.
As of RAGFlow v0.26.1, the search feature is still in a rudimentary form, supporting only dataset search by name.
![search dataset](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/search_datasets.jpg)

2
docs/guides/manage_files.md
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@@ -89,4 +89,4 @@ 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 v0.26.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.26.1, bulk download is not supported, nor can you download an entire folder.

6
docs/quickstart.mdx
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@@ -49,7 +49,7 @@ 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 abnormal behaviors, and the system will throw out-of-memory errors when a process reaches the limitation.
RAGFlow v0.26.0 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.
RAGFlow v0.26.1 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) 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"
@@ -194,7 +194,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
3. Switch to the current version:
```bash
$ git checkout -f v0.26.0
$ git checkout -f v0.26.1
```
4. Use the pre-built Docker images and start up the server:
@@ -209,7 +209,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
| RAGFlow image tag | Image size (GB) | Stable? |
| ------------------- | --------------- | ------------------------ |
| v0.26.0 | &approx;2 | Stable release |
| v0.26.1 | &approx;2 | Stable release |
| nightly | &approx;2 | _Unstable_ nightly build |
```mdx-code-block