Elegant Software Solutions

Building RAG Systems: A Platform-by-Platform Guide

A 12-part series to help you master this topic step by step.

Technical Deep Dives/Retrieval & Data Technical Deep Dives/Tutorials & Guides Applied AI/Integrations & Tooling Technical Deep Dives/Evaluation & Guardrails Technical Deep Dives/Patterns in Practice Applied AI/MLOps & Observability Orchestration Academy/Getting Started

12 parts in this series

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Series Outline

RAG Foundations: What You Need to Know Before Implementing

RAG Foundations: What You Need to Know Before Implementing

LangChain RAG: From Prototype to Production

LangChain RAG: From Prototype to Production

LlamaIndex: Document-Centric RAG for Knowledge Bases

LlamaIndex: Document-Centric RAG for Knowledge Bases

Haystack: Enterprise-Grade RAG Pipelines

Haystack: Enterprise-Grade RAG Pipelines

Semantic Kernel: RAG in the Microsoft Ecosystem

Semantic Kernel: RAG in the Microsoft Ecosystem

AWS Bedrock Knowledge Bases: Managed RAG at Scale

AWS Bedrock Knowledge Bases: Managed RAG at Scale

Vercel AI SDK: Streaming RAG for Modern Web Apps

Vercel AI SDK: Streaming RAG for Modern Web Apps

Memory Systems for Conversational RAG

Memory Systems for Conversational RAG

Advanced RAG Patterns: Self-RAG, CRAG, and Agentic Retrieval

Advanced RAG Patterns: Self-RAG, CRAG, and Agentic Retrieval

RAG Evaluation and Observability: Measuring What Matters

RAG Evaluation and Observability: Measuring What Matters

Production RAG: Performance, Cost, and Scale

Production RAG: Performance, Cost, and Scale

RAG Gotchas: Avoiding Common Pitfalls

RAG Gotchas: Avoiding Common Pitfalls

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Begin with Part 1 and work your way through the series at your own pace.

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