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Ragchatbot MCPServer
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Ragchatbot MCPServer

This project builds an HR chatbot based on RAG. The MCP server serves as the functional call center to implement PDF document upload, parsing, retrieval, and natural language question answering functions.
Artificial intelligence chatbotsKnowledge management and memory#RAG Q&A#PDF Parsing#MCP Scheduling#HR Assistant.Python
2.5 points
5.7K
Open Site

Overview

Content Details

Alternatives

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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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