Building RAG Systems: A Platform-by-Platform Guide

Series Outline

RAG Foundations: What You Need to Know Before Implementing

Master the fundamentals of Retrieval-Augmented Generation before diving into platform-specific implementations. Learn when to use RAG, understand the architecture, and avoid common mistakes.

Tom Hundley

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LangChain RAG: From Prototype to Production

Build production-ready RAG systems with LangChain. Learn document loading, chunking, vector stores, and the modern LCEL approach with practical code examples.

Tom Hundley

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LlamaIndex: Document-Centric RAG for Knowledge Bases

Master LlamaIndex for building sophisticated RAG systems. Learn the Documents → Nodes → Index → Query Engine pipeline with practical examples for knowledge bases.

Tom Hundley

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Haystack: Enterprise-Grade RAG Pipelines

Build production-ready RAG with Haystack's pipeline architecture. Learn enterprise patterns for document processing, retrieval, and deployment used by Airbus and NVIDIA.

Tom Hundley

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Semantic Kernel: RAG in the Microsoft Ecosystem

Build enterprise RAG applications with Microsoft Semantic Kernel. Learn Azure AI integration, .NET implementation patterns, and production deployment strategies.

Tom Hundley

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AWS Bedrock Knowledge Bases: Managed RAG at Scale

Deploy production RAG with zero infrastructure using AWS Bedrock Knowledge Bases. Learn setup, advanced features, and critical cost optimization strategies.

Tom Hundley

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Vercel AI SDK: Streaming RAG for Modern Web Apps

Build streaming RAG experiences with Vercel AI SDK. Learn real-time token rendering, Next.js integration, and edge deployment patterns for AI-native web applications.

Tom Hundley

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Memory Systems for Conversational RAG

Add conversational memory to your RAG systems. Learn short-term buffers, long-term memory with Zep and MemGPT, and production patterns for stateful AI assistants.

Tom Hundley

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

Master advanced RAG architectures including Self-RAG, Corrective RAG, agentic retrieval, multi-modal RAG, and Graph RAG for complex knowledge systems.

Tom Hundley

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RAG Evaluation and Observability: Measuring What Matters

Evaluate and monitor your RAG systems with RAGAS, TruLens, and LangSmith. Learn key metrics for retrieval and generation quality, plus production observability patterns.

Tom Hundley

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Production RAG: Performance, Cost, and Scale

Take your RAG system to production with caching, latency optimization, cost management, and security patterns. Learn real-world scaling strategies.

Tom Hundley

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RAG Gotchas: Avoiding Common Pitfalls

Avoid the most common RAG mistakes: chunking errors, embedding pitfalls, context overflow, hallucination traps, and security vulnerabilities. A comprehensive best practices guide.

Tom Hundley

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Series Outline

RAG Foundations: What You Need to Know Before Implementing

LangChain RAG: From Prototype to Production

LlamaIndex: Document-Centric RAG for Knowledge Bases

Haystack: Enterprise-Grade RAG Pipelines

Semantic Kernel: RAG in the Microsoft Ecosystem

AWS Bedrock Knowledge Bases: Managed RAG at Scale

Vercel AI SDK: Streaming RAG for Modern Web Apps

Memory Systems for Conversational RAG

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

RAG Evaluation and Observability: Measuring What Matters

Production RAG: Performance, Cost, and Scale

RAG Gotchas: Avoiding Common Pitfalls

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