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11 guides~1.1 hrs totalupdated Jul 6, 2026
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Agentic Search vs RAG: Which One Do You Actually Need? (2026)

Agentic search vs RAG, decided: a flowchart, real cost data, and the default that wins most of the time — plus exactly when to pay for the upgrade.

Intermediate · 6 min
AI Engineering
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11 on this page
IntermediateVector Database for RAG: When to Ditch the List (Part 4)A vector database for RAG earns its place when persistence, filters, or scale demand it — move the Part 1 list store to Chroma and add hybrid search.7 minIntermediateSemantic Chunking & Re-Ranking for Better RAG (Part 3)Semantic chunking and cross-encoder re-ranking break the retrieval ceiling fixed-size chunks hit — with a hit-rate eval showing which to reach for first.6 minIntermediateRAGFlow: Fix Bad RAG Retrieval on Real PDFs (2026)RAGFlow fixes the RAG failure you can't out-prompt — bad PDF and table parsing. See how its deep document understanding reads tables right, and when to use it.5 minIntermediateAgentic RAG: Why Static Retrieval Isn't Enough (2026)Agentic RAG wraps retrieval in an agent loop that grades its own results and re-queries when they're weak. Here's how it beats static RAG — and what it costs.6 minIntermediateBuild a RAG System in Python From Scratch (Part 1)Build a RAG system in Python from scratch — no framework. Four functions that chunk, embed, store, and retrieve over your own docs, then answer with an LLM.8 minIntermediateRAG Chunking & Retrieval Quality: Fix Bad Answers (Part 2)Fix RAG chunking to stop wrong answers — use fixed-size windows, overlap, and a 10-line retrieval eval. The model was never the problem; the chunks were.6 minIntermediateAI Engineer Interview Questions (2026): RAG & AgentsA 2026 playbook of AI engineer interview questions by round: RAG, agents, LLM system design, and evals, with what each really tests and how to answer.5 minIntermediateBecome an AI Engineer: The 80% You Already Know (2026)You already do 80% of an AI engineer's job. If you ship software, here's the exact 20% you need to become an AI engineer in 2026: RAG, agents, evals.6 minBeginnerWhat Is RAG in AI? A Practical Developer's Guide (2026)What is RAG? A developer's guide to retrieval-augmented generation: why LLMs need it, the retrieve-augment-generate loop, and a runnable RAG in 25 lines.6 minBeginnerEmbeddings and Vector Search: A Primer for AI Agents (2026)An embeddings and vector search primer: how text becomes vectors, how similarity search finds meaning not keywords, and why agent memory and RAG rely on it.4 min

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