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EigenTalk
RAG-powered research assistant with a responsive Next.js frontend and AI retrieval workflows.
Next.jsTypeScriptTailwind CSSREST APIs
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A RAG-powered research assistant for document-specific AI analysis. Built a responsive Next.js frontend with TypeScript and integrated REST APIs for document ingestion and AI-powered retrieval workflows, with error handling and route-level code optimization throughout.
Problem
Researchers needed a responsive way to ingest documents and query document-specific knowledge without leaving the application.
Role
Frontend-focused full-stack engineer
Implementation highlights
- 01Built a responsive Next.js front-end for a RAG-based research assistant with proper error handling.
- 02Integrated REST APIs for document ingestion, AI-powered retrieval, and analysis workflows.
- 03Managed complex application state; implemented route-level code splitting and lazy loading for optimization.
Outcomes
- ›Delivered a streamlined AI workflow for document-specific analysis.
- ›Achieved a fast, reliable interface through route-level code splitting and robust error handling.