Node.js + MongoDB + RAG Systems Engineer

Most teams struggle to build sophisticated RAG systems with Node.js and MongoDB that deliver accurate, scalable knowledge retrieval at enterprise scale.

I've architected production RAG systems with this stack: IX Coach serving 5,000+ users, Coherence knowledge platform, proven retrieval accuracy.

I architect production Node.js backends with MongoDB for sophisticated RAG (Retrieval-Augmented Generation) systems, delivering intelligent knowledge retrieval and processing to thousands of users. My expertise includes building scalable Node.js RAG architectures, designing flexible MongoDB schemas for knowledge data, implementing advanced vector search and semantic retrieval, and creating cohesive backend systems that seamlessly handle complex knowledge operations while maintaining enterprise-grade performance and accuracy.

Currently powering live applications • Updated September 2024 • Production-proven architecture

5,000+

Users Served

RAG Systems

Production

Knowledge AI

Enterprise RAG

3+ Years

Node.js RAG

MongoDB Backend

Proven Node.js + MongoDB + RAG Systems Engineer Experience

IX Coach RAG Knowledge Infrastructure

Production Node.js and MongoDB powered RAG system serving thousands of users with intelligent knowledge retrieval, advanced semantic processing, and enterprise-scale knowledge operations.

2022-Present

Production

Node.js + MongoDB RAG Architecture

• Advanced RAG processing
• MongoDB knowledge schemas
• Scalable retrieval backend
• Node.js knowledge APIs

RAG System Operations

• Intelligent knowledge retrieval
• Semantic processing
• Enterprise knowledge scale
• Production RAG reliability

View Full Portfolio →Learn About My Mission →

Coherence Knowledge Platform

Node.js and MongoDB powered RAG system for AI-native knowledge management, featuring advanced semantic retrieval and intelligent knowledge processing.

Stack: Node.js, MongoDB, RAG Systems, Knowledge AI, Semantic Search

IX Systems Documentation RAG

Node.js backend with MongoDB for enterprise documentation RAG, featuring sophisticated knowledge retrieval and production-grade RAG architecture.

Stack: Node.js, MongoDB, RAG Backend, Enterprise Knowledge, Documentation AI

Complete Node.js + MongoDB + RAG Systems Engineer Stack

Node.js

• RAG Backend Architecture (production)
• Knowledge Processing APIs
• Node.js RAG Systems
• Backend Knowledge AI

MongoDB

• Knowledge Data Schemas (enterprise)
• MongoDB Vector Search
• RAG Data Layer
• Production Knowledge DB

RAG Systems

• Advanced Retrieval Systems
• Semantic Knowledge Processing (5k users)
• RAG Architecture Design
• Production RAG Operations

Knowledge Engineering

• Enterprise Knowledge Systems
• Knowledge Backend Design
• RAG System Optimization
• Production Knowledge AI

Ready for Production Node.js + MongoDB + RAG Systems Engineer?

Looking for an engineer who's built and scaled node.js + mongodb + rag systems engineer systems at enterprise level? Let's discuss how I can architect your systems for real-world performance and scalability.

View Complete Portfolio →Schedule Technical Interview →

📍 Based in Palo Alto, CA

💼 Available for knowledge engineering and RAG systems roles

📧 founder@ixcoach.com