Docs: Update version references to v0.21.0 in READMEs and docs (#10565)

### What problem does this PR solve?

- Update version tags in README files (including translations) from
v0.20.5 to v0.21.0
- 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
2025-10-15 11:46:24 +08:00
committed by GitHub
parent e8bfda6020
commit 3ae126836a
28 changed files with 125 additions and 75 deletions

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@ -9,7 +9,7 @@ The component equipped with reasoning, tool usage, and multi-agent collaboration
---
An **Agent** component fine-tunes the LLM and sets its prompt. From v0.20.5 onwards, an **Agent** component is able to work independently and with the following capabilities:
An **Agent** component fine-tunes the LLM and sets its prompt. From v0.21.0 onwards, an **Agent** component is able to work independently and with the following capabilities:
- Autonomous reasoning with reflection and adjustment based on environmental feedback.
- Use of tools or subagents to complete tasks.
@ -147,7 +147,7 @@ An **Agent** component relies on keys (variables) to specify its data inputs. It
#### Advanced usage
From v0.20.5 onwards, four framework-level prompt blocks are available in the **System prompt** field, enabling you to customize and *override* prompts at the framework level. Type `/` or click **(x)** to view them; they appear under the **Framework** entry in the dropdown menu.
From v0.21.0 onwards, four framework-level prompt blocks are available in the **System prompt** field, enabling you to customize and *override* prompts at the framework level. Type `/` or click **(x)** to view them; they appear under the **Framework** entry in the dropdown menu.
- `task_analysis` prompt block
- This block is responsible for analyzing tasks — either a user task or a task assigned by the lead Agent when the **Agent** component is acting as a Sub-Agent.

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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 v0.20.5, if you add custom variables here, the only way you can pass in their values is to call:
- As of v0.21.0, 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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@ -124,7 +124,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
## Search for dataset
As of RAGFlow v0.20.5, the search feature is still in a rudimentary form, supporting only dataset search by name.
As of RAGFlow v0.21.0, 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)

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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 v0.20.5, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.21.0, 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 **≥ 0.20.5** (contains the Langfuse connector)
• RAGFlow **≥ 0.21.0** (contains the Langfuse connector)
• A Langfuse workspace (cloud or self-hosted) with a _Project Public Key_ and _Secret Key_
:::

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@ -66,10 +66,10 @@ 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., `v0.20.5`:
2. Switch to the latest, officially published release, e.g., `v0.21.0`:
```bash
git checkout -f v0.20.5
git checkout -f v0.21.0
```
3. Update **ragflow/docker/.env**:
@ -83,14 +83,14 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
<TabItem value="slim">
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5-slim
RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.0-slim
```
</TabItem>
<TabItem value="full">
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.0
```
</TabItem>
@ -114,10 +114,10 @@ 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.v0.20.5.tar infiniflow/ragflow:v0.20.5
docker save -o ragflow.v0.21.0.tar infiniflow/ragflow:v0.21.0
```
3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker:
```bash
docker load -i ragflow.v0.20.5.tar
docker load -i ragflow.v0.21.0.tar
```