Case study — Corporate Learning & Development
RAGChat: RAG-based multilingual training assistant
A client needed an intelligent assistant capable of delivering training and answering domain-specific questions in multiple languages, by text and voice, to standardise learning delivery.
Industry
Corporate Learning & Development
Location
India
Engagement
AI chatbot build
What we built
Built a RAG-enabled AI chatbot with multilingual natural language understanding, voice interaction, and domain-specific knowledge retrieval.
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Enabled users to converse naturally, get contextual answers, and complete guided training modules through a chat-and-voice-first interface.
Tuned the system specifically to help new joiners get up to speed faster on business context and terminology.
Challenges
- Maintaining accuracy across diverse languages and accents
- Reducing hallucinated answers while still retrieving precise, relevant responses
- Integrating speech-to-text, text-to-speech and the LLM workflow with minimal latency
Technologies
- RAG
- LangChain
- Speech-to-text / text-to-speech
- LLM
- Vector database
- Python
The result
Delivered on time, on scope, on budget.
- 60–80% reduction in repeated queries to human trainers
- A markedly better onboarding experience for new joiners
- Consistent, scalable training delivery across languages
- A digital trainer available 24×7, improving adoption and engagement
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Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853