Editorial updates to Docker README (#3223)

### What problem does this PR solve?



### Type of change


- [x] Documentation Update

docs/guides/llm_api_key_setup.md

@@ -9,24 +9,7 @@ An API key is required for RAGFlow to interact with an online AI model. This gui
 
 ## Get model API key
 
-For now, RAGFlow supports the following online LLMs. Click the corresponding link to apply for your model API key. Most LLM providers grant newly-created accounts trial credit, which will expire in a couple of months, or a promotional amount of free quota.
-
-- [OpenAI](https://platform.openai.com/login?launch)
-- [Azure-OpenAI](https://ai.azure.com/)
-- [Gemini](https://aistudio.google.com/)
-- [Groq](https://console.groq.com/)
-- [Mistral](https://mistral.ai/)
-- [Bedrock](https://aws.amazon.com/cn/bedrock/)
-- [Tongyi-Qianwen](https://dashscope.console.aliyun.com/model)
-- [ZHIPU-AI](https://open.bigmodel.cn/)
-- [MiniMax](https://platform.minimaxi.com/)
-- [Moonshot](https://platform.moonshot.cn/docs)
-- [DeepSeek](https://platform.deepseek.com/api-docs/)
-- [Baichuan](https://www.baichuan-ai.com/home)
-- [VolcEngine](https://www.volcengine.com/docs/82379)
-- [Jina](https://jina.ai/reader/)
-- [OpenRouter](https://openrouter.ai/)
-- [StepFun](https://platform.stepfun.com/)
+RAGFlow supports most mainstream LLMs. Please refer to [Supported Models](./references/supported_models.mdx) for a complete list of supported models. You will need to apply for your model API key online. Note that most LLM providers grant newly-created accounts trial credit, which will expire in a couple of months, or a promotional amount of free quota.
 
 :::note
 If you find your online LLM is not on the list, don't feel disheartened. The list is expanding, and you can [file a feature request](https://github.com/infiniflow/ragflow/issues/new?assignees=&labels=feature+request&projects=&template=feature_request.yml&title=%5BFeature+Request%5D%3A+) with us! Alternatively, if you have customized or locally-deployed models, you can [bind them to RAGFlow using Ollama, Xinference, or LocalAI](./deploy_local_llm.mdx).

docs/guides/manage_files.md

@@ -49,7 +49,7 @@ You can link your file to one knowledge base or multiple knowledge bases at one
 
 ## Search files or folders
 
-As of RAGFlow v0.13.0, the search feature is still in a rudimentary form, supporting only file and folder search in the current directory by name (files or folders in the child directory will not be retrieved).
+**File Management** only supports file name and folder name filtering in the current directory (files or folders in the child directory will not be retrieved).
 
 ![search file](https://github.com/infiniflow/ragflow/assets/93570324/77ffc2e5-bd80-4ed1-841f-068e664efffe)
 
@@ -73,7 +73,7 @@ To bulk delete files or folders:
 ![bulk delete](https://github.com/infiniflow/ragflow/assets/93570324/519b99ab-ec7f-4c8a-8cea-e0b6dcb3cb46)
 
 > - You are not allowed to delete the **root/.knowledgebase** folder. 
-> - Deleting files that have been linked to knowledge bases will AUTOMATICALLY REMOVE all associated file references across the knowledge bases. 
+> - Deleting files that have been linked to knowledge bases will **AUTOMATICALLY REMOVE** all associated file references across the knowledge bases.
 
 ## Download uploaded file