Fast responses
Answers routine HR policy questions immediately, while preserving enough context for follow-up questions.
Enterprise AI assistant built for HR policy intelligence. Give employees instant, grounded answers without turning HR teams into a ticket queue.
HR Policy Console
Live employee support
Capabilities
Nexora AI pairs a polished employee experience with an architecture prepared for real enterprise workflows.
Answers routine HR policy questions immediately, while preserving enough context for follow-up questions.
Designed around employee intent, policy language, and conversation history for more useful answers.
The interface is ready for private deployments, access control, and audit-friendly enterprise flows.
Optimized around Nexora HR policies using a Qwen2.5 3B fine-tuning workflow.
A chat surface that feels familiar to modern AI users without sacrificing business clarity.
Structured for future RAG, files, history, multiple models, and employee authentication.
Workflow
Two simple paths explain how Nexora is trained, tested, and deployed.
Experiment
Compare fine-tuned models on your machine before choosing the best approach.
Training data
Domain examples
Fine-tune
Hugging Face + Unsloth
Test models
Domain · SFT · DPO
Evaluate
Groq LLM
Production
Retrieve relevant company knowledge so deployed answers stay grounded.
Documents
Domain knowledge
Prepare data
Parser + chunking + embeddings
Store & search
Vector database
Answer query
LLM + retrieved context
Demo
Online mode uses RAG retrieval + the fine-tuned DPO model. Local mode compares SFT and DPO side by side. Groq evaluates both answers in a floating panel.
Nexora AI
Online product — RAG + DPO model
FAQ
The first version looks complete, but the system has room for the features teams usually ask for next.
The current product is optimized for HR policy intelligence, but the component architecture leaves room for onboarding, IT support, and internal knowledge workflows.
Yes. The frontend separates chat state, settings, history, and message rendering so retrieval-backed responses can be added without redesigning the UI.
The chat page is structured around a single send action and can be wired to the existing Nexora model endpoint when the API contract is ready.
It is compact enough for practical deployment while still offering strong instruction-following behavior after fine-tuning.