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Docs: Added v0.19.1 release notes (#8398)

### What problem does this PR solve?

### Type of change

- [x] Documentation Update
tags/v0.20.0
writinwaters 4 月之前
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共有 3 個檔案被更改,包括 22 行新增4 行删除
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docs/develop/mcp/mcp_client_example.md 查看文件

@@ -14,7 +14,7 @@ Python and curl MCP client examples.

We provide a *prototype* MCP client example for testing [here](https://github.com/infiniflow/ragflow/blob/main/mcp/client/client.py).

:::danger IMPORTANT
:::info IMPORTANT
If your MCP server is running in host mode, include your acquired API key in your client's `headers` when connecting asynchronously to it:

```python
@@ -36,7 +36,7 @@ When interacting with the MCP server via HTTP requests, follow this initializati

1. **The client sends an `initialize` request** with protocol version and capabilities.
2. **The server replies with an `initialize` response**, including the supported protocol and capabilities.
3. **The client confirms readiness with an `initialized` notification**.
3. **The client confirms readiness with an `initialized` notification**.
_The connection is established between the client and the server, and further operations (such as tool listing) may proceed._

:::tip NOTE

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docs/guides/dataset/set_metadata.md 查看文件

@@ -9,7 +9,7 @@ Add metadata to an uploaded file

---

On the **Dataset** page of your knowledge base, you can add metadata to any uploaded file. This approach enables you to 'tag' additional information like URL, author, date, and more to an existing file or dataset. In an AI-powered chat, such information will be sent to the LLM with the retrieved chunks for content generation.
On the **Dataset** page of your knowledge base, you can add metadata to any uploaded file. This approach enables you to 'tag' additional information like URL, author, date, and more to an existing file. In an AI-powered chat, such information will be sent to the LLM with the retrieved chunks for content generation.

For example, if you have a dataset of HTML files and want the LLM to cite the source URL when responding to your query, add a `"url"` parameter to each file's metadata.


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docs/release_notes.md 查看文件

@@ -22,6 +22,24 @@ The embedding models included in a full edition are:
These two embedding models are optimized specifically for English and Chinese, so performance may be compromised if you use them to embed documents in other languages.
:::

## v0.19.1

Released on June 23, 2025.

### Fixed issues

- A memory leak issue during high-concurrency requests.
- A context error occurring when using Sandbox in standalone mode. [#8340](https://github.com/infiniflow/ragflow/pull/8340)
- An excessive CPU usage issue caused by Ollama. [#8216](https://github.com/infiniflow/ragflow/pull/8216)
- A bug in the Code Component. [#7949](https://github.com/infiniflow/ragflow/pull/7949)
- Added support for models installed via Ollama or VLLM when creating a knowledge base through the API. [#8069](https://github.com/infiniflow/ragflow/pull/8069)
- Enabled role-based authentication for S3 bucket access. [#8149](https://github.com/infiniflow/ragflow/pull/8149)

### Added models

- Qwen 3 Embedding. [#8184](https://github.com/infiniflow/ragflow/pull/8184)
- Voyage Multimodal 3. [#7987](https://github.com/infiniflow/ragflow/pull/7987)

## v0.19.0

Released on May 26, 2025.
@@ -33,7 +51,7 @@ Released on May 26, 2025.
- Enhanced image display: Images in Chat and Search now render directly within responses, rather than as external references. Knowledge retrieval testing can retrieve images directly, instead of texts extracted from images.
- Claude 4 and ChatGPT o3: Developers can now use the newly released, most advanced Claude model and OpenAI’s latest ChatGPT o3 inference model.

> The following features are contributed by our community contributors:
> The following features have been contributed by our community:

- Agent component: Enables tool calling within the Generate Component. Thanks to [notsyncing](https://github.com/notsyncing).
- Markdown rendering: Image references in a markdown file can be displayed after chunking. Thanks to [Woody-Hu](https://github.com/Woody-Hu).

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