LangChain + Vector Database + Node.js Engineer

Most teams struggle to integrate LangChain with production vector databases and scalable Node.js backends.

I've architected this stack at enterprise scale: advanced RAG, semantic search, real-time processing.

I architect production LangChain frameworks integrated with vector databases and Node.js backends that serve thousands of users with complex AI workflows. My experience includes building sophisticated RAG pipelines, semantic intent mapping systems, and enterprise-grade AI orchestration that handles real-time conversational processing at scale.

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

5,000+

Active Users

LangChain Backend

3 Years

Production AI

Node.js + Vectors

Multi-Agent

Orchestration

LangGraph + RAG

Proven LangChain + Vector Database + Node.js Experience

IX Coach - AI Coaching Platform

Production Node.js backend with LangChain orchestration, vector database semantic search, and sophisticated RAG workflows serving thousands of paying customers.

2022-Present

Production

LangChain Architecture

• Multi-agent orchestration with LangGraph
• Custom chain implementations for coaching flows
• Production prompt management and optimization
• Real-time agent communication patterns

Vector + Node.js Backend

• MongoDB vector search with embeddings
• Express.js API with RAG endpoints
• Semantic intent mapping and retrieval
• Real-time streaming and WebSocket integration

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Coherence - Enterprise Knowledge Management

AI-native knowledge system with LangChain agents, vector database integration, and TypeScript/Node.js backend for enterprise document processing.

Stack: LangChain, Vector DBs, Node.js, TypeScript, RAG Systems

IX Systems Documentation

Production system architecture with LangChain integration patterns, vector database optimization, and Node.js deployment strategies.

Stack: LangChain, Vector DBs, Node.js, System Design, AI Integration

Complete LangChain + Vector DB + Node.js Stack

LangChain

• LangChain Framework (production)
• LangGraph Orchestration
• Custom Chain Development
• Agent Communication

Vector Databases

• MongoDB Vector Search (enterprise)
• Embedding Generation
• Semantic Retrieval
• Vector Optimization

Node.js Backend

• Express.js API Server
• Real-time WebSockets (5k users)
• RAG Pipeline Integration
• Production Deployment

Integration

• OpenAI & Anthropic APIs
• MongoDB & PostgreSQL
• React Frontend Connection
• Vercel Deployment

Ready for Production LangChain + Vector DB + Node.js?

Looking for an engineer who's built and scaled LangChain applications with vector databases and Node.js at enterprise level? Let's discuss how I can architect your AI backend for real-world performance.

View Complete Portfolio →Schedule Technical Interview →

📍 Based in Palo Alto, CA

💼 Available for founding engineer and senior AI backend roles

📧 founder@ixcoach.com