update:增加ragflow部署教程

README_en.md

@@ -6,7 +6,7 @@
 This project is based on human-machine symbiotic intelligence theory and technology to develop intelligent terminal hardware and software systems<br/>providing backend services for the open-source intelligent hardware project
 <a href="https://github.com/78/xiaozhi-esp32">xiaozhi-esp32</a><br/>
 Implemented using Python, Java, and Vue according to the <a href="https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh">Xiaozhi Communication Protocol</a><br/>
-Supports MCP endpoints and voiceprint recognition
+Support for MQTT+UDP protocol, Websocket protocol, MCP access point, voiceprint recognition, and knowledge base
 </p>
 
 <p align="center">
@@ -244,6 +244,7 @@ This project provides the following testing tools to help you verify the system
 | Visual Perception | Supports multiple VLLM(vision large models), implements multimodal interaction |
 | Intent Recognition | Supports LLM intent recognition, Function Call function calling, provides plugin-based intent processing mechanism |
 | Memory System | Supports local short-term memory, mem0ai interface memory, with memory summarization functionality |
+| Knowledge Base | Supports RAGFlow knowledge base, enabling LLM to judge whether to schedule the knowledge base after receiving the user's question, and then answer the question |
 | Command Delivery | Supports MCP command delivery to ESP32 devices via MQTT protocol from Smart Console |
 | Tool Calling | Supports client IOT protocol, client MCP protocol, server MCP protocol, MCP endpoint protocol, custom tool functions |
 | Management Backend | Provides Web management interface, supports user management, system configuration and device management; Supports Simplified Chinese, Traditional Chinese and English display |