Does RAG share my data with ChatGPT?

No. RAG retrieves your data locally and uses the model only to summarize the answer, never to train public models.

Is it more accurate than regular AI?

Yes, because it is forced to cite its sources from your own company documents.

Answers are typically generated in under 2 seconds.

Can it handle unstructured data like PDFs?

That is its specialty—turning messy PDFs and emails into searchable wisdom.

What if my policy is outdated?

The AI will only know what is in the document. It's a great tool for identifying where policies need updates.

Does it support multiple languages?

Yes, LLMs can translate the retrieved information into the employee's preferred language.

Can it handle complex HR queries?

It can explain policies, but for personal data like salary, it works with RBAC to ensure security.

Do I need a data scientist to set it up?

Platforms like Kiework handle the RAG engineering for you—you just upload the docs.

What is the 'Augmented' part?

It means the AI is augmented with specific facts before it starts talking.

Why is it the gold standard for HR AI?

Because in HR, 'almost accurate' isn't good enough. You need the exact policy.

HR Technology

RAG (Retrieval-Augmented Generation)

RAG is an AI framework that combines the power of large language models (LLMs) with a company's own private knowledge base, ensuring that AI-generated answers are accurate, secure, and context-aware.

Key Takeaways

Prevents AI "hallucinations" by using verified source docs.
Ensures data privacy by not training public models on your data.
Allows employees to query handbooks and policies in natural language.
Updates instantly whenever a policy document is changed.

Expert Profile

Sujith Sasidharan

CTO & Technical Architect

Expert Insight

Ask Sujith about this

Sujith Sasidharan

CTO & Technical Architect

Explore More HR Terms

# 30-60-90 Day Plan # 360-Degree Feedback # 50% Wage Rule # Accountability Culture # Agentic HR Workflows # Agile OKRs # AI Literacy (HR)# Chat-First Design # Cloud-Native HR Architecture # Cost to Company (CTC)# EBITDA & HR Efficiency # Employee Engagement # Fixed-Term Employment (FTE)# Full and Final (F&F) Settlement # Gig Worker Social Security # Gratuity (UAE)# HR Automation # Human Capital ROI # Hyper-Personalized Employee Experience # Indian Income Tax Laws (HR)# Indian Labor Codes # KPI Alignment # KSA Labor Law (Qiwa)# Neurodiversity Inclusion # Performance Appraisal # POSH (Prevention of Sexual Harassment)# Psychological Safety # Quiet Ambition # Recruitment Speed # Right to Disconnect # Role-Based Access Control (RBAC)# Skills-First Hiring # Time to Hire # User Experience (UX) for HR # WPS (Wages Protection System) - UAE # Zero-Training Adoption