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TL;DR Production RAG API implementation requires battle-tested patterns for security, scalability, and reliability. This guide uses real production code from the CustomGPT Starter Kit—a complete implementation currently serving thousands of users. Instead of theoretical examples, you’ll work with actual code […]

TL;DR This guide demonstrates how to build production-ready RAG applications using proven implementation patterns from real-world deployments. Instead of theoretical examples, we’ll use actual code from the CustomGPT Starter Kit and working examples from the CustomGPT Cookbook. You’ll learn to […]

TL;DR This hands-on tutorial walks you through getting started with RAG APIs and building your first RAG-powered application from scratch. You’ll learn to set up a RAG API, upload your data sources, create a functional chat interface, and deploy a […]

TL;DR The choice between RAG API vs traditional LLM APIs comes down to accuracy, currency, and domain expertise. Traditional LLM APIs like OpenAI’s GPT-4 provide broad general knowledge but suffer from knowledge cutoffs, hallucinations, and lack of domain-specific expertise. RAG […]

TL;DR A RAG API (Retrieval-Augmented Generation API) is a service that combines AI-powered search with text generation to create applications that can answer questions using your specific data. Instead of relying on pre-trained knowledge that becomes outdated, RAG APIs dynamically […]