Docs: Update version references to v0.19.1 in READMEs and docs (#8366)

### What problem does this PR solve?

- Update Docker image version badges and references from v0.19.0 to
v0.19.1
- Modify version mentions in all localized README files (id, ja, ko,
pt_br, tzh, zh)
- Update version in docker/README.md and related documentation files
- Includes updates to Helm values and Python SDK dependencies

### Type of change

- [x] Documentation Update
This commit is contained in:
Liu An
2025-06-19 14:39:27 +08:00
committed by GitHub
parent 9077ee8d15
commit 7e87eb2e23
23 changed files with 62 additions and 62 deletions

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@ -48,7 +48,7 @@ You start an AI conversation by creating an assistant.
- If no target language is selected, the system will search only in the language of your query, which may cause relevant information in other languages to be missed.
- **Variable** refers to the variables (keys) to be used in the system prompt. `{knowledge}` is a reserved variable. Click **Add** to add more variables for the system prompt.
- If you are uncertain about the logic behind **Variable**, leave it *as-is*.
- As of v0.19.0, if you add custom variables here, the only way you can pass in their values is to call:
- As of v0.19.1, if you add custom variables here, the only way you can pass in their values is to call:
- HTTP method [Converse with chat assistant](../../references/http_api_reference.md#converse-with-chat-assistant), or
- Python method [Converse with chat assistant](../../references/python_api_reference.md#converse-with-chat-assistant).

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@ -128,7 +128,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
## Search for knowledge base
As of RAGFlow v0.19.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
As of RAGFlow v0.19.1, 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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@ -87,4 +87,4 @@ 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 v0.19.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.19.1, bulk download is not supported, nor can you download an entire folder.

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@ -18,7 +18,7 @@ RAGFlow ships with a built-in [Langfuse](https://langfuse.com) integration so th
Langfuse stores traces, spans and prompt payloads in a purpose-built observability backend and offers filtering and visualisations on top.
:::info NOTE
• RAGFlow **≥ 0.19.0** (contains the Langfuse connector)
• RAGFlow **≥ 0.19.1** (contains the Langfuse connector)
• A Langfuse workspace (cloud or self-hosted) with a _Project Public Key_ and _Secret Key_
:::

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@ -66,16 +66,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
git clone https://github.com/infiniflow/ragflow.git
```
2. Switch to the latest, officially published release, e.g., `v0.19.0`:
2. Switch to the latest, officially published release, e.g., `v0.19.1`:
```bash
git checkout -f v0.19.0
git checkout -f v0.19.1
```
3. Update **ragflow/docker/.env** as follows:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.19.1
```
4. Update the RAGFlow image and restart RAGFlow:
@ -92,10 +92,10 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
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.v0.19.0.tar infiniflow/ragflow:v0.19.0
docker save -o ragflow.v0.19.1.tar infiniflow/ragflow:v0.19.1
```
3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker:
```bash
docker load -i ragflow.v0.19.0.tar
docker load -i ragflow.v0.19.1.tar
```