Advanced · 5 articles · MODULE 5: RAG SYSTEMS
Tutorial · Advanced · 28 min
Users write questions in their vocabulary; documents are written in the author's. Retrieval that matches the raw question against the corpus fails on that gap alone.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 23 min
Retrieval is a two-stage cascade: a cheap scorer sweeps the whole corpus and returns k candidates, then an expensive scorer reorders just those k into the final few.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 27 min
Real systems retrieve from more than one place, and each returns overlapping documents with incomparable scores — so merging and deduplication decide the ranking.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 27 min
A router decides, per query, which specialist retrievers to run — each with its own index, filters, and tools — and a supervisor merges what comes back.
By: Anacodic Team
Start Reading →Tutorial · Advanced · 26 min
Documents cite and link to each other, and that graph is a retrieval signal independent of the embedding — it reaches documents your retriever cannot see.
By: Anacodic Team
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