Development of AI-Driven Chatbot Platform

Role: Lead Software Developer

Agentic AI is a flexible, AI-driven chatbot platform designed to help businesses and individuals create highly personalized AI assistants. The goal was to move beyond generic chatbots by delivering accurate, context-aware responses grounded in each user’s own data—while maintaining scalability and production reliability.

Frontend: Next.js, React.js, Tailwind CSS, Rive AI & Backend: LangChain, OpenAI API Automation & Data Ingestion: Puppeteer

Most chatbot solutions struggle with accuracy, context retention, and scalability when handling large or diverse datasets. The challenge was to architect a system that could:

Deliver reliable, grounded responses using Retrieval-Augmented Generation (RAG)

Scale efficiently as data and user demand grew

Allow non-technical users to train AI assistants on their own content with minimal friction

I led the end-to-end development of a RAG-based chatbot platform that combines a modern web experience with a robust AI backend. By integrating LangChain with OpenAI APIs and automating data ingestion via Puppeteer, the platform enables users to quickly transform their documents and web content into intelligent, domain-specific AI assistants.

RAG-Powered Intelligence: Ensures accurate, context-aware responses by grounding AI outputs in user-provided data

Custom AI Training: Users can create assistants tailored to their own datasets without complex setup

Scalable Architecture: Designed to handle large knowledge bases and growing user demand

Polished UI & UX: Built with Next.js, React, Tailwind CSS, and Rive for a smooth, interactive experience

Successfully launched a production-ready chatbot platform

Improved response accuracy and contextual relevance through RAG

Increased user engagement with adaptable, domain-specific AI assistants

Delivered a scalable foundation ready for future feature expansion

🔗 Visit: https://agenticai-psd.vercel.app/