About News RAG AI

This application is a Retrieval-Augmented Generation (RAG) system designed to answer questions about the latest news.

How It Works

The system fetches recent news articles from various sources. When you ask a question, it first searches its database for relevant articles and then uses a large language model (LLM) to generate a precise answer based on the information found in those articles.

Diagram explaining how News RAG AI works

Technology Stack

Frontend: Hosted on S3, built with HTML, CSS, and vanilla JavaScript.
Backend: A FastAPI application running on Fly.io.
Database: ChromaDB for vector storage.
AI Model: Powered by AWS Bedrock.

Back to Chat