Ragchatbot MCPServer

Ragchatbot MCPServer

該項目構建了一個基於RAG的HR聊天機器人，通過MCP服務器作為功能調用中心，實現PDF文檔上傳、解析、檢索及自然語言問答功能。

人工智能聊天機器人知識管理與記憶 #RAG問答 #PDF解析 #MCP調度 #HR助手 .Python

評分 : 2.5分

下載量 : 18

更新時間 : 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 ProcessingUpload and analyze company policy PDFs to create a searchable knowledge base

Smart Question AnsweringGet precise answers to policy questions using AI-powered semantic search

MCP Server IntegrationCentralized tool orchestration for reliable document processing and response generation

Conversational InterfaceUser-friendly chat interface that remembers conversation context

Pros and Cons

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 InquiryEmployee wants to know how vacation days accrue

New Hire OnboardingNew 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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