mediumMicrosoft Glean Cohere

How do you keep a RAG system's knowledge fresh (index updates, stale data, changing documents)?

A RAG system is only as current as its index, and stale or duplicated content silently degrades answers. The signal is an incremental pipeline with deletes, updates, and recency signals, not a one-time bulk load. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

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LEARN THE BACKGROUND

These lessons teach the material this question tests, in order and from the beginning.

Applied AI Engineering·RetrievalFree14mHow a working retrieval system goes wrongThe failures that arrive after launch, once real documents and real questions replace your test set. Six of them, each with the signal that identifies it, because the wrong diagnosis here wastes weeks.Applied AI Engineering·ProductionSign in13mCaching, and the one that pays for itself immediatelyThree kinds of caching apply here and they are not interchangeable. One is nearly free and often sits unused, one needs care, and one will serve wrong answers if you are careless about what belongs in the key.

UP NEXT ON YOUR JOURNEY

Next in this trackWhat is late interaction (ColBERT), and how does it sit between bi-encoders and cross-encoders?Next in this trackWhat is query routing in a RAG/agent system, and how do you decide where a query should go?Next in this trackWhat is HyDE (Hypothetical Document Embeddings), and why does it improve retrieval?

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