Client: A European company providing professional HR training.
Streamlining HR Training with an AI Chatbot
The Challenge:
Our client had a vast library of HR training materials. Their customer companies’ HR personnel
struggled to find specific information quickly, navigating a large, time-consuming index.
The Solution:
We developed and deployed a comprehensive, production-ready AI-powered chatbot, built on
Retrieval Augmented Generation (RAG). This solution allowed end-users to get instant, precise
answers to their questions by simply asking the chatbot, eliminating the need to browse through
extensive content.
Key Benefits:
Instant Answers: Users quickly received relevant information through a natural
language interface.
Improved Efficiency: HR professionals saved valuable time, accessing content
effortlessly.
Enhanced User Experience: A seamless and intuitive way to interact with training
materials.
Technology Highlights
We engineered a robust system using
- Python as the base programming language
- LangChain for RAG orchestration
- Qdrant as the vector database
- Langsmith for agent observability
- Supabase as the backend database
- Angular for the frontend web app
The Impact:
The RAG-based chatbot transformed content access for our client’s customers, moving from manual searching to intelligent, conversational retrieval. This significantly enhanced knowledge transfer, boosted user satisfaction, and positioned our client as an innovator in professional training delivery.
