RAG-Powered Chatbot for News Websites- Github
Wyreflow Technologies
Mar 2025 - Apr 2025 (2 months)
• Developed a full-stack RAG chatbot using React, NestJS, and Python to deliver accurate, context-aware answers. • Engineered an AI data pipeline using Jina AI and Qdrant to perform high-speed semantic searches, leveraging Google Gemini to generate contextually grounded responses and prevent factual hallucinations. • Built a scalable backend REST API using NestJS, integrating Redis for high-performance session caching with TTL-based memory management. • Created a dynamic and responsive user interface in React, implementing real-time streaming of AI responses. • Deployed the complete multi-service application (React, NestJS, Qdrant, Redis) to a cloud platform using Docker. • Tech stack used: React, Tailwind CSS, NestJS, TypeScript, Pyt