Express + RAG Systems + Vector Databases Engineer

Most teams struggle to build production RAG backends with Express.js and vector databases that handle complex knowledge retrieval at enterprise scale.
I've architected this stack at production scale: intelligent APIs, vector search, enterprise knowledge systems.

I build production Express.js backends with RAG systems and vector databases that power intelligent knowledge applications serving thousands of users. My expertise includes designing scalable retrieval APIs, implementing sophisticated vector search pipelines, orchestrating complex RAG workflows, and creating robust knowledge management systems that handle enterprise-scale document processing, semantic search, and intelligent content retrieval with high availability and performance.

Currently powering live applications • Updated September 2024 • Production-proven architecture
5,000+
Active Users
RAG Backend APIs
Enterprise
RAG Systems
Vector Search
Production
Knowledge APIs
Express + Vectors

Proven Express + RAG Systems + Vector Databases Engineer Experience

IX Coach & Coherence RAG Backend Systems

Production Express.js backends with advanced RAG systems and vector database integration, serving thousands of users with intelligent knowledge retrieval, semantic search APIs, and sophisticated document processing workflows that handle complex coaching content and enterprise knowledge management scenarios.

2022-Present
Production

Express.js RAG Architecture

  • RESTful RAG API endpoints
  • Vector search middleware
  • Knowledge retrieval pipelines
  • Semantic search orchestration

Vector Database Integration

  • MongoDB Vector Search implementation
  • Embedding generation pipelines
  • Semantic similarity algorithms
  • Production vector optimization

Coherence - Enterprise Knowledge Backend

Express.js application with sophisticated RAG systems and vector database integration, featuring intelligent document processing APIs, semantic search endpoints, and advanced knowledge retrieval for enterprise workflows.

Stack: Express.js, RAG Systems, Vector Databases, Knowledge APIs, Enterprise Backend

IX Coach Intelligent Retrieval APIs

Production Express.js backend powering RAG-based coaching content retrieval, vector search for coaching materials, and intelligent knowledge APIs serving thousands of coaching interactions daily.

Stack: Express.js, RAG Architecture, Vector Search, Production APIs, AI Backend

Complete Express + RAG Systems + Vector Databases Engineer Stack

Express.js

  • RAG API Endpoints (production)
  • Knowledge Middleware
  • Vector Search Routes
  • Semantic API Design

RAG Systems

  • Retrieval Pipelines (enterprise)
  • Document Processing
  • Knowledge Orchestration
  • Semantic Workflows

Vector Databases

  • MongoDB Vector Search
  • Embedding Generation (5k users)
  • Similarity Algorithms
  • Vector Optimization

Production

  • Scalable Architecture
  • Knowledge APIs
  • Performance Optimization
  • Enterprise Deployment

Ready for Production Express + RAG Systems + Vector Databases Engineer?

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

📍 Based in Palo Alto, CA

💼 Available for founding engineer and senior backend AI roles

📧 founder@ixcoach.com