Redis-based FAQ System with RAG Pattern

A RAG-based FAQ assistant built with Redis 8, developed for the dev.to Real-Time AI Challenge.

Overview

This project is a highly efficient FAQ system built using Redis 8 as a vector database and the Retrieval-Augmented Generation (RAG) pattern. The application is developed with Next.js, providing a modern and scalable architecture for handling FAQ queries with contextual embeddings.

Features

Vector Database: Utilises Redis for storing and querying vector embeddings for efficient similarity searches.
RAG Pattern: Combines retrieval-based methods with generative AI to provide accurate and context-aware answers.
OpenAI Integration: Leverages OpenAI’s embedding models for generating high-dimensional vector representations of questions.
Next.js Framework: Built with Next.js for server-side rendering and API routes.
Scalable Architecture: Designed to handle large datasets and high query volumes efficiently.
Caching: Implements Redis caching to store frequently accessed results, reducing response times and improving performance.

System Design

For more information, visit Building an AI FAQ Assistant with Redis 8 and OpenAI on dev.to.