Guided path · advanced
Advanced RAG Engineering
Design, index, retrieve, rerank, and evaluate production Retrieval-Augmented Generation systems across hybrid search and knowledge graphs.
5 modules255 minutesAdvanced RAG Engineer badge
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Complete the path to earnAdvanced RAG EngineerWho this is for
ML engineers, backend developers, and data architects building enterprise knowledge systems.
Your route
Modules
- 0145 min · intermediateChunking Strategies & Document Ingestion in PracticeEvaluate fixed-size, recursive character, semantic sentence-window, and hierarchical parent-document chunking strategies.Begin →
- 0250 min · advancedHybrid Search & Cross-Encoder RerankingCombine sparse BM25 keyword search with dense embedding vectors and apply cross-encoder neural rerankers for optimal relevance.Begin →
- 0355 min · advancedGraphRAG & Multi-Hop Entity ReasoningExtract structured knowledge graphs from unstructured corpora to enable multi-hop reasoning and holistic summary queries across disparate documents.Begin →
- 0445 min · intermediateRAG Evaluation & The RAG TriadQuantify RAG quality using deterministic evaluation metrics: Context Relevance, Groundedness (Faithfulness), and Answer Relevance.Begin →
- 0560 min · advancedAdvanced RAG Capstone: Design, Implement & EvaluateArchitect an end-to-end production RAG system with hybrid search, metadata ACL filtering, cross-encoder reranking, and automated RAG Triad verification.Begin →