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RAG Rerank: the Highest-Leverage Upgrade to Your Retrieval Pipeline
If your RAG app sometimes answers from the wrong document even though the right one was in your...
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Query Rewriting Before Retrieval: The Cheap Recall Win Most Skip
Most RAG pipelines embed the user's raw query and skip the cheapest recall win there is: rewriting it before search.
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RAG Explained: Retrieve, Then Answer (the Prompt That Kills Hallucinations)
RAG sounds like a research paper. It's three moves: retrieve relevant chunks, stuff them in a prompt, ask the model to answer using only those. Here it is from zero.
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Most RAG Problems Are Retrieval Problems. Here Are 8 Fixes That Worked for Me
The first few times a RAG system gave me a bad answer, I did what I think everyone does: I went and...
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A Cognitive Benchmark for Code-RAG Retrieval: Part 2 — Why Model Rankings Depend on the Pipeline
How embedding models, chunking, retrieval modes, and query phrasing jointly determine Code-RAG quality.
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Your RAG System Is Broken. Your Chunks Are Why.
80% of RAG failures trace back to one decision made before the first vector is ever stored. Most...
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RAG Rerank: the Highest-Leverage Upgrade to Your Retrieval Pipeline
If your RAG app sometimes answers from the wrong document even though the right one was in your...
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Your RAG Agent Is Retrieving the Wrong Chunk: 5 Failure Modes We Fix in Production
A client called us last month with a simple complaint: "Our support agent confidently quotes the...