Introduction

Step-by-step tutorials for building production AI applications with NeurosLink AI

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

📚 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

Start Tutorial →

🔍 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, NeurosLink AI MCP

Start Tutorial →

🎯 Learning Path

For Beginners

  1. Quick Start - Get familiar with NeurosLink AI 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?

Related Resources

PreviousTutorialsNextChat Application

Last updated

Was this helpful?