Memoriva

AI-Powered Document Management & RAG System

RAG PipelineSRSGo BackendNext.js Frontend

Try Demo

Flashcard and AI generated study sessions

Frontend Code

Next.js frontend repository

Backend Code

Go backend repository

Design

RAG architecture & AI integration, and Software Design

Project Overview

🏗️ Multi-Repository Architecture

Memoriva consists of two separate repositories: frontend (Next.js) and backend (Go). Installation and setup instructions are available in each repository's README.

Memoriva is flashcard review app that is based on the SRS - Spaced repetition system for better memory retention of the flashcards. It has baked in RAG for generating flashcard sesssions for study for specific topics, your weak topics, etc., based on the prompt given.

The platform combines powerful SRS algorithm for better retention and uses RAG for generating AI based flashcard study sessions.

Technology Stack

Frontend Technologies

Next.js 14 with App Router
TypeScript for type safety
Tailwind CSS styling
React Query for state management

Backend & Database

Go backend services
PostgreSQL with pgvector
Redis for caching
Docker containerization

AI & Vector Search

OpenAI Embeddings API
RAG pipeline implementation
Document chunking & indexing

Infrastructure

RESTful API design
File upload handling
Authentication & authorization
Scalable microservices

Core Features

RAG Pipeline

• Document ingestion & processing
• Intelligent text chunking
• Vector embedding generation
• Semantic similarity search
• Context-aware retrieval

Spaced Repetition System (SRS)

• Optimized memory retention through adaptive intervals
• Intelligent scheduling based on user performance
• Support for various flashcard types
• Daily review tracking and analytics
• Handles forgotten cards with ease

Security & Privacy

• User authentication
• Document access control
• Data encryption
• Privacy-first design
• Secure file handling