HR & Recruitment

Build and deploy a Policy Chatbot that can instantly, and reliably answer complex employee questions by citing the exact sections of HR policy documents.

Who Should Attend

HR Specialist, Global HR Team

Use Case

An AI system uses (Retrieval-Augmented Generation) RAG to search a database of HR policies and generate a concise answer while simultaneously providing the source location (page/section/document name) of the policy.

Core Challenges

Tools & Activities:

The course explores 

• • How to setup a RAG architecture to explore an HR Policy document and ground the respond within the information available in a given input (HR Policy document)
  • • Document Ingestion and Chunking Strategy, Vector Database Setup and Indexing, Implementing the RAG Workflow
  • Prompt Engineering.
  • Interacting with an LLM through the chat interface
  • Pinecone vector database configuration, chunking and storage, search and retrieval
  • n8n workflow automation
  • Building a Chat interface

Outcome

Participants will gain the skills to deploy a Trustworthy, Authoritative HR Policy Chatbot, leading to significantly reduced HR workload, instant 24/7 availability, and improved compliance through standardized policy interpretation.