Miscellaneous UI updates (#6094)

### What problem does this PR solve?

#6049 

### Type of change

- [x] Documentation Update
- [x] Other (please describe): UI updates

docs/faq.md

@@ -421,7 +421,7 @@ You can use Ollama or Xinference to deploy local LLM. See [here](./guides/models
 
 ---
 
-### Is it possible to add an LLM that is not supported?
+### How to add an LLM that is not supported?
 
 If your model is not currently supported but has APIs compatible with those of OpenAI, click **OpenAI-API-Compatible** on the **Model providers** page to configure your model:
 
@@ -438,6 +438,19 @@ See [here](./guides/models/deploy_local_llm.mdx) for more information.
 
 ---
 
+### How to change the file size limit?
+
+For a locally deployed RAGFlow: the total file size limit per upload is 1GB, with a batch upload limit of 32 files. There is no cap on the total number of files per account. To update this 1GB file size limit:
+
+- In **docker/.env**, upcomment `# MAX_CONTENT_LENGTH=1073741824`, adjust the value as needed, and note that `1073741824` represents 1GB in bytes.
+- If you update the value of `MAX_CONTENT_LENGTH` in **docker/.env**, ensure that you update `client_max_body_size` in **nginx/nginx.conf** accordingly.
+
+:::tip NOTE
+It is not recommended to manually change the 32-file batch upload limit. However, if you use RAGFlow's HTTP API or Python SDK to upload files, the 32-file batch upload limit is automatically removed.
+:::
+
+---
+
 ### `Error: Range of input length should be [1, 30000]`
 
 This error occurs because there are too many chunks matching your search criteria. Try reducing the **TopN** and increasing **Similarity threshold** to fix this issue:
@@ -461,4 +474,4 @@ See [Acquire a RAGFlow API key](./develop/acquire_ragflow_api_key.md).
 
 See [Upgrade RAGFlow](./guides/upgrade_ragflow.mdx) for more information.
 
----
+---

docs/guides/agent/agent_component_reference/begin.mdx

@@ -31,6 +31,10 @@ An opening greeting is the agent's first message to the user. It can be a welcom
 
 You can set global variables within the **Begin** component, which can be either required or optional. Once established, users will need to provide values for these variables when interacting or chatting with the agent. Click **+ Add variable** to add a global variable, each with the following attributes:
 
+:::caution WARNING
+If your agent's **Begin** component takes a variable, you *cannot* embed it into a webpage.
+:::
+
 - **Key**: *Required*  
   The unique variable name.
 - **Name**: *Required*  

docs/guides/agent/embed_agent_into_webpage.md

@@ -8,7 +8,7 @@ slug: /embed_agent_into_webpage
 You can use iframe to embed an agent into a third-party webpage.
 
 :::caution WARNING
-If your agent's **Begin** component takes a key of **file** type (a **file** type variable), you *cannot* embed it into a webpage.
+If your agent's **Begin** component takes a variable, you *cannot* embed it into a webpage.
 :::
 
 1. Before proceeding, you must [acquire an API key](../models/llm_api_key_setup.md); otherwise, an error message would appear.

docs/guides/dataset/accelerate_doc_indexing.mdx

@@ -16,4 +16,4 @@ Please note that some of your settings may consume a significant amount of time.
 - On the configuration page of your knowledge base, switch off **Use RAPTOR to enhance retrieval**.
 - Extracting knowledge graph (GraphRAG) is time-consuming.
 - Disable **Auto-keyword** and **Auto-question** on the configuration page of yor knowledge base, as both depend on the LLM.
-- **v0.17.0:** If your document is plain text PDF and does not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.
+- **v0.17.0+:** If your document is plain text PDF and does not require GPU-intensive processes like OCR (Optical Character Recognition), TSR (Table Structure Recognition), or DLA (Document Layout Analysis), you can choose **Naive** over **DeepDoc** or other time-consuming large model options in the **Document parser** dropdown. This will substantially reduce document parsing time.

docs/guides/manage_team_members.md

@@ -30,6 +30,10 @@ _On the **Team** page, you can view the information about members of your team a
 
 You are, by default, the owner of your own team and the only person permitted to invite users to join your team or remove team members.
 
+:::danger IMPORTANT
+When using email address to invite a team member, ensure it is associated with an existing RAGFlow account to avoid errors.
+:::
+
 ![invite_team_member](https://github.com/user-attachments/assets/d85b55c3-7e86-4f04-a414-ca18a9ee8963)
 
 ## Remove team members

docs/release_notes.md

@@ -28,11 +28,11 @@ Released on March 13, 2025.
 
 #### HTTP APIs
 
-[Create chat completion](./references/http_api_reference.md#openai-compatible-api)
+- [Create chat completion](./references/http_api_reference.md#openai-compatible-api)
 
 #### Python APIs
 
-[Create chat completion](./references/python_api_reference.md#openai-compatible-api)
+- [Create chat completion](./references/python_api_reference.md#openai-compatible-api)
 
 ## v0.17.1