Ragchatbot MCPServer

Ragchatbot MCPServer

该项目构建了一个基于RAG的HR聊天机器人，通过MCP服务器作为功能调用中心，实现PDF文档上传、解析、检索及自然语言问答功能。

人工智能聊天机器人知识管理与记忆 #RAG问答 #PDF解析 #MCP调度 #HR助手 .Python

评分 : 2.5分

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更新时间 : 2025-04-29

What is the HR RAG Chatbot?

This chatbot helps employees quickly find workplace rules and policies by answering natural language questions. It analyzes uploaded PDF documents to provide accurate answers using AI-powered search.

How does it work with MCP Server?

The MCP server acts as the central hub that coordinates document processing, text analysis, and answer generation. It connects all components seamlessly for efficient operation.

When should I use this?

Ideal for HR departments and employees who need quick access to company policies, or when onboarding new staff who have frequent policy questions.

Key Features

PDF Document Processing

Upload and analyze company policy PDFs to create a searchable knowledge base

Smart Question Answering

Get precise answers to policy questions using AI-powered semantic search

MCP Server Integration

Centralized tool orchestration for reliable document processing and response generation

Conversational Interface

User-friendly chat interface that remembers conversation context

Advantages

Quick access to policy information without manual document searching

Understands natural language questions (no need for exact keyword matching)

Centralized MCP server makes it easy to add new features and integrations

Improves over time as more documents are added to the knowledge base

Limitations

Requires initial document upload and processing time

Accuracy depends on quality of source documents

Currently only supports PDF format for documents

Requires internet connection for AI processing

Getting Started

Upload Policy Documents

Click the upload button to add your company policy PDFs to the system

Wait for Processing

The system will automatically analyze and index your documents (takes 1-5 minutes depending on document size)

Ask Questions

Type your policy-related questions in natural language in the chat interface

Example Use Cases

Vacation Policy Inquiry

Employee wants to know how vacation days accrue

New Hire Onboarding

New employee has questions about benefits eligibility

Frequently Asked Questions

What document formats are supported?

How long does document processing take?

Can multiple users access the chatbot simultaneously?

How do I update the policy information?

Additional Resources

MCP Server Documentation

Technical details about the Model Context Protocol server architecture

RAG Implementation Guide

How Retrieval-Augmented Generation works in AI systems

HR Policy Template Examples

Sample policy documents you can use with the chatbot

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