Updated outdated descriptions and added multi-turn optimization (#4362)

### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change

- [x] Documentation Update

docs/references/agent_component_reference/_category_.json

@@ -1,5 +1,5 @@
 {
-  "label": "Agent Component Reference",
+  "label": "Agent Components",
   "position": 3,
   "link": {
     "type": "generated-index",

docs/references/agent_component_reference/begin.mdx

@@ -29,7 +29,7 @@ An opening greeting is the agent's first message to the user. It can be a welcom
 
 ### Global variables
 
-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 with the agent. Click **+ Add variable** to add a global variable, each with the following attributes:
+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:
 
 - **Key**: *Required*  
   The unique variable name.
@@ -41,7 +41,7 @@ You can set global variables within the **Begin** component, which can be either
   - **line**: Accepts a single line of text without line breaks.
   - **paragraph**: Accepts multiple lines of text, including line breaks.
   - **options**: Requires the user to select a value for this variable from a dropdown menu. And you are required to set *at least* one option for the dropdown menu.
-  - **file**: Requires the user to upload a file from their device.
+  - **file**: Requires the user to upload one or multiple files from their device.
   - **integer**: Accepts an integer as input.
   - **boolean**: Requires the user to toggle between on and off.
 - **Optional**: A toggle indicating whether the variable is optional. 

docs/references/faq.md

@@ -81,9 +81,13 @@ No, this feature is not supported.
 
 ---
 
-### Do you support multiple rounds of dialogues, i.e., referencing previous dialogues as context for the current dialogue?
+### Do you support multiple rounds of dialogues, referencing previous dialogues as context for the current query?
 
-This feature and the related APIs are still in development. Contributions are welcome.
+Yes, we support enhancing user queries based on existing context of an ongoing conversation:
+
+1. On the **Chat** page, hover over the desired assistant and select **Edit**.
+2. In the **Chat Configuration** popup, click the **Prompt Engine** tab.
+3. Toggle on **Multi-turn optimization** to enable this feature.
 
 ---
 
@@ -388,6 +392,14 @@ You can use Ollama or Xinference to deploy local LLM. See [here](../guides/deplo
 
 ---
 
+### Is it possible 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:
+
+![openai-api-compatible](https://github.com/user-attachments/assets/b1e964f2-b86e-41af-8528-fd8a96dc5f6f)
+
+---
+
 ### How to interconnect RAGFlow with Ollama?
 
 - If RAGFlow is locally deployed, ensure that your RAGFlow and Ollama are in the same LAN.

docs/references/http_api_reference.md

@@ -3,7 +3,7 @@ sidebar_position: 1
 slug: /http_api_reference
 ---
 
-# HTTP API Reference
+# HTTP API
 
 A complete reference for RAGFlow's RESTful API. Before proceeding, please ensure you [have your RAGFlow API key ready for authentication](https://ragflow.io/docs/dev/acquire_ragflow_api_key).
 

docs/references/python_api_reference.md

@@ -3,7 +3,7 @@ sidebar_position: 2
 slug: /python_api_reference
 ---
 
-# Python API Reference
+# Python API
 
 A complete reference for RAGFlow's Python APIs. Before proceeding, please ensure you [have your RAGFlow API key ready for authentication](https://ragflow.io/docs/dev/acquire_ragflow_api_key).
 

docs/references/supported_models.mdx

@@ -62,6 +62,10 @@ A complete list of models supported by RAGFlow, which will continue to expand.
 </APITable>
 ```
 
+:::danger IMPORTANT
+If your model is not listed here but has APIs compatible with those of OpenAI, click **OpenAI-API-Compatible** on the **Model providers** page to configure your model.
+::: 
+
 :::note
 The list of supported models is extracted from [this source](https://github.com/infiniflow/ragflow/blob/main/rag/llm/__init__.py) and may not be the most current. For the latest supported model list, please refer to the Python file.
 :::