JH
Jonathan Haber

TypeScript + Next.js + RAG Systems Engineer

Most teams struggle to build production RAG systems with TypeScript and Next.js that handle complex knowledge retrieval.
I've architected this stack at enterprise scale: intelligent retrieval, type safety, production RAG workflows.

I architect production applications with TypeScript, Next.js, and RAG systems that serve thousands of users with intelligent knowledge retrieval, semantic search, and sophisticated document processing. My experience includes building advanced RAG pipelines, implementing vector search systems, and creating type-safe knowledge management platforms that handle complex enterprise information workflows.

Currently powering live applications • Updated September 2024 • Production-proven architecture
5,000+
Active Users
RAG Systems
Advanced
RAG Architecture
TypeScript + Next.js
Enterprise
Knowledge Systems
Production Scale

Proven TypeScript + Next.js + RAG Systems Experience

IX Coach & Coherence RAG Systems

Production TypeScript and Next.js applications with advanced RAG architecture, serving thousands of users with intelligent knowledge retrieval, semantic search, and sophisticated document processing workflows.

2022-Present
Production

TypeScript + Next.js RAG Frontend

  • • Type-safe RAG component architecture
  • • Intelligent search interfaces
  • • Real-time retrieval UI patterns
  • • Advanced knowledge navigation

RAG Systems Architecture

  • • Vector search implementation
  • • Semantic retrieval pipelines
  • • Document processing workflows
  • • Production RAG optimization
View Full Portfolio →Learn About My Mission →

Coherence - Enterprise Knowledge Platform

TypeScript and Next.js application with sophisticated RAG systems, featuring intelligent document processing, semantic search, and advanced knowledge retrieval for enterprise workflows.

Stack: TypeScript, Next.js, RAG Systems, Vector Search, Knowledge Management

IX Coach Intelligent Retrieval

Production RAG implementation with TypeScript and Next.js, powering intelligent coaching content retrieval and semantic search across thousands of coaching interactions.

Stack: TypeScript, Next.js, RAG Architecture, Semantic Search, Production AI

Complete TypeScript + Next.js + RAG Systems Stack

TypeScript

  • • Type-Safe RAG Components (production)
  • • Advanced RAG Type Patterns
  • • Vector Search Types
  • • Knowledge System Types

Next.js

  • • RAG-Optimized Architecture (enterprise)
  • • Intelligent Search UI
  • • Knowledge Navigation
  • • RAG Performance Optimization

RAG Systems

  • • Vector Search Integration
  • • Semantic Retrieval (5k users)
  • • Document Processing
  • • Knowledge Management

Production

  • • Enterprise Knowledge Systems
  • • Scalable RAG Architecture
  • • Performance Optimization
  • • Production Deployment

Ready for Production TypeScript + Next.js + RAG Systems?

Looking for an engineer who's built and scaled RAG systems with TypeScript and Next.js at enterprise level? Let's discuss how I can architect your intelligent knowledge platform for real-world performance and intelligence.

View Complete Portfolio →Schedule Technical Interview →

📍 Based in Palo Alto, CA

💼 Available for founding engineer and senior RAG systems roles

📧 founder@ixcoach.com