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Tutorials

Step-by-step tutorials for building real-world AI applications with NeuroLink.

📚 Available Tutorials

💬 Chat Application

Build a production-ready chat application with streaming, conversation history, and multi-provider support

What You'll Build:

  • Real-time streaming responses
  • Persistent conversation history with PostgreSQL
  • Multi-provider failover (OpenAI → Anthropic → Google AI)
  • Cost optimization with free tier prioritization
  • Modern React/Next.js UI
  • User authentication and sessions

Time: 45-60 minutes Level: Intermediate Tech Stack: Next.js 14+, TypeScript, PostgreSQL, Prisma, TailwindCSS

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🔍 RAG System

Build a Retrieval-Augmented Generation system for knowledge base Q&A

What You'll Build:

  • Document ingestion from multiple formats (PDF, MD, TXT)
  • Semantic search with vector embeddings
  • AI-powered Q&A with source citations
  • MCP integration for file system access
  • Vector storage with Pinecone or in-memory
  • Context-aware responses with relevance scoring

Time: 60-90 minutes Level: Advanced Tech Stack: Next.js 14+, TypeScript, OpenAI Embeddings, Pinecone, NeuroLink MCP

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🎯 Learning Path

For Beginners

  1. Quick Start - Get familiar with NeuroLink basics
  2. Provider Setup - Configure your first AI provider
  3. Chat Application Tutorial - Build your first AI application

For Intermediate Developers

  1. Chat Application Tutorial - Learn streaming, state management, database integration
  2. Use Cases Guide - Explore 12+ production use cases
  3. Enterprise Guides - Production deployment patterns

For Advanced Developers

  1. RAG System Tutorial - Build advanced retrieval-augmented generation
  2. MCP Server Catalog - Integrate 58+ MCP servers
  3. Code Patterns - Master production patterns

📖 Prerequisites

All tutorials assume you have:

  • Node.js 18+ installed
  • Basic TypeScript/JavaScript knowledge
  • At least one AI provider API key
  • Familiarity with React (for UI tutorials)

🚀 What to Build Next

After completing the tutorials, consider building:

  • Customer Support Bot - Automated support with intent classification
  • Content Generation Pipeline - Multi-stage content creation
  • Code Review Automation - AI-powered code analysis
  • Document Analysis System - Extract insights from PDFs
  • Translation Service - Multi-language translation
  • SQL Query Generator - Natural language to SQL

See Use Cases Guide for implementation details.

💬 Need Help?