hardGlean Cohere Databricks

Your retriever misses the relevant document entirely. How do you debug and fix low recall?

When the right answer isn't even in the top-50, the generator can't save you. Low recall has a short list of usual suspects. Here is the order to check them so you fix the cause, not a symptom.

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

When the right answer isn't even in the top-50, the generator can't save you. Low recall has a short list of usual suspects. Here is the order to check them so you fix the cause, not a symptom.

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LEARN THE BACKGROUND

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

Applied AI Engineering·RetrievalFree13mWhy retrieval exists, and what it actually buys youRetrieval is the standard answer to making a model useful on knowledge it never saw. This lesson covers the three problems it solves at once, the one thing it does not fix, and the shape every system in this module is built from.Applied AI Engineering·RetrievalFree14mChunking: the decision that quietly caps your qualityHow you split documents into passages sets a ceiling on how good your retrieval can ever be, and it is usually decided in five minutes by a default. This lesson covers the tension every strategy is trading against, and how to choose deliberately.

UP NEXT ON YOUR JOURNEY

Next in this trackHow do you choose top-k and the context budget for RAG, given recall, noise, and cost all pull against each other?Next in this trackYour multi-agent system fails silently and you can't tell which step broke. How do you trace and debug it?Next in this trackYour RAG system aces your eval set but fails on real user queries. How do you close the gap?

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