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AI/TLDR

SYSTEM 05/14 · THE FIELD GUIDE

Retrieval-Augmented Generation (RAG)

Grounding model answers in your own data — chunking, retrieval, reranking, GraphRAG, and evaluation.

5 TRACKS52 ARTICLESbeginner → advanced

RAG Fundamentals

What RAG is, when to choose it, and your first working pipeline.

Retrieval-Augmented GenerationBEGINNER Ingest, Retrieve, GenerateBEGINNER RAG vs Fine-TuningBEGINNER Build Your First RAG AppINTERMEDIATE RAG vs Long ContextINTERMEDIATE RAG LimitationsINTERMEDIATE RAG Still HallucinatesINTERMEDIATE RAG vs Search EngineBEGINNER RAG Cost and LatencyINTERMEDIATE RAGFlowINTERMEDIATE txtaiINTERMEDIATE

Chunking & Ingestion

Where most RAG quality is won or lost: how documents become chunks.

Chunking in RAGBEGINNER Strategies ComparedINTERMEDIATE Chunk Size & OverlapBEGINNER Code, Tables & MarkdownINTERMEDIATE Parsing PDFsINTERMEDIATE Contextual RetrievalINTERMEDIATE Cleaning Data for RAGBEGINNER Semantic ChunkingINTERMEDIATE UnstructuredINTERMEDIATE DoclingINTERMEDIATE LlamaParseINTERMEDIATE ChonkieINTERMEDIATE

Retrieval & Reranking

BM25 meets embeddings: hybrid search, RRF, rerankers, and query rewriting.

RetrieversBEGINNER RerankingINTERMEDIATE BM25BEGINNER Reciprocal Rank Fusion (RRF)INTERMEDIATE Hybrid SearchINTERMEDIATE Cross-Encoders vs Bi-EncodersADVANCED Metadata Filtering in RAGINTERMEDIATE Query RewritingINTERMEDIATE HyDEINTERMEDIATE Cohere RerankINTERMEDIATE BGE RerankerINTERMEDIATE ColBERTADVANCED SPLADEADVANCED

Advanced RAG Architectures

Agentic RAG, GraphRAG, self-correcting pipelines, and retrieval beyond plain text.

Agentic RAGINTERMEDIATE Hybrid RAGINTERMEDIATE GraphRAGINTERMEDIATE Citations & GroundingADVANCED Parent Document RetrievalINTERMEDIATE Multimodal RAGINTERMEDIATE RAG Over Structured DataINTERMEDIATE Multi-Hop RAGADVANCED

RAG Evaluation

Proving your pipeline works — and debugging it when it doesn't.

Metrics That MatterBEGINNER The Core MetricsINTERMEDIATE Faithfulness vs RelevanceINTERMEDIATE Precision, Recall & MRRINTERMEDIATE RAGASINTERMEDIATE Building an Eval DatasetINTERMEDIATE LLM as a Judge for RAGINTERMEDIATE Debugging Bad RetrievalINTERMEDIATE