Retrieval & Data

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

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

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

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

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.

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.

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

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

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

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