Bricks
3 stories filed under Bricks on Beyond Market Intelligence. The newest of them: “When a RAG System Says No, It Should Show Four Proof Points”, “When Retrieval Fails, Loop Engineering Keeps Your Results on Track”, and “Four PDFs, one pipeline: consistent, cited answers from messy documents”. A confident wrong answer is a bug, but a bare "no answer" with no justification is barely better. Most RAG pipelines return useful results most of the time. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Bricks story on Beyond Market Intelligence, newest first.
When a RAG System Says No, It Should Show Four Proof Points
A confident wrong answer is a bug, but a bare "no answer" with no justification is barely better. This piece breaks down why a RAG system that says "not in this document" must show four distinct kinds of evidence to earn trust. It's a practical push for accountability in AI output. For readers wrestling with how LLMs structure their reasoning, "Exploring Paragraph Structure" offers a useful companion on the mechanics behind the curtain.
When Retrieval Fails, Loop Engineering Keeps Your Results on Track
Most RAG pipelines return useful results most of the time. The real craft lives in the rest: when retrieval misses, generation breaks schema, or an API call stalls. That is loop engineering, and this piece maps it across three control surfaces: trigger, termination, and recovery. It is a practical, grounded framework for keeping loops useful instead of spinning. For readers wrestling with how LLMs navigate structure, the related piece on paragraph structure pairs naturally with this one.
Four PDFs, one pipeline: consistent, cited answers from messy documents
Four very different PDFs. One RAG pipeline. The same four upgraded bricks in every case, and every answer typed and cited. That is the kind of consistency that makes a tool feel trustworthy, not just clever. We appreciate how the demonstration walks through the practical wiring of a paper, a NIST standard, and a report with a broken TOC. It is a grounded demonstration of what happens when retrieval is built to handle real-world mess.