A practical guide series on Retrieval-Augmented Generation - how to give an LLM your own documents to answer from, instead of hoping it already knows. Tool-agnostic: the same concepts apply whether you build in LangChain, n8n, or straight API calls.
RAG in one picture: retrieve the relevant chunks first, then hand them to the LLM alongside the question.
New to RAG, or you've heard the term but couldn't explain it on the spot? These two guides get you oriented.
The plain-English version: what problem RAG solves, why "just fine-tune it" usually isn't the answer, and where RAG actually falls short.
→The six stages every RAG system is built from, and where most of the actual engineering work concentrates.
Two decisions quietly determine whether your RAG system is good or mediocre - how you chunk, and where you store the result.
Fixed-size, recursive, and semantic chunking compared - and why chunk size is the single decision most likely to make or break retrieval quality.
→Pinecone, Chroma, Weaviate, pgvector, and when a plain vector index is genuinely all you need.
APA Mastery runs live, practical sessions on working with modern AI tools - not just theory.
See What's On →The guide that separates "I built a RAG demo" from "I trust this in production."
Faithfulness, relevance, and recall - the three questions that tell you whether a change to chunking or retrieval actually helped.
→A practical decision guide: when retrieval beats fine-tuning, when a bigger context window makes RAG unnecessary, and when you need more than one.
→Combining keyword and vector search, and adding a reranking step - the two changes most likely to fix mediocre retrieval quality.
→Query rewriting, multi-hop retrieval, and self-correction - how agentic RAG replaces a single fixed pipeline pass with a loop.
→Using a knowledge graph instead of, or alongside, a vector index - for the relationship-heavy questions vector similarity struggles with.
The full pipeline, a chunking cheat table, and vector database comparisons, as one printable PDF. Drop your email and it's yours, plus a heads-up whenever new guides go live.
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