Pine AI Transformed Transportation Insights with a Custom RAG-Based AI Assistant

Full-stack RAG platform with enterprise auth, payments, OCR, and analytics

Cogninest AI built a domain-specific Retrieval-Augmented Generation (RAG) platform tailored to the transportation agency. The platform integrates a custom-trained Large Language Model with real-time document retrieval, offering intelligent insights and streamlining access to regulatory knowledge. The RAG architecture combines retrieval from indexed agency documents with generative AI, handling nuanced queries like "What are the agency's guidelines for rural intersection lighting?" The domain-specific LLM was trained on agency regulations, transportation policies, and official documentation, ensuring accuracy and reduced hallucination. Microsoft Login provides secure sign-in with enterprise-level access control and Role-Based Access Control for administrators, analysts, and general users. Stripe handles credit card payments and subscriptions with PCI-DSS compliance. The Django backend manages user sessions, the RAG pipeline, and real-time processing with PostgreSQL for storing indexed documents. The React frontend includes dashboards for usage stats and payment tracking. OCR processing handles scanned documents. Query history and bookmarks let users save frequently used questions. An interactive dashboard displays system metrics, document insights, and error analysis.