📄 文章列表
41 篇文章
TDS
Tables in PDFs for RAG: Don’t Flatten the Grid
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A RAG That Says “Not in This Document” Has to Show Four Kinds of Evidence
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Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval
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FAQ as RAG: When You Get to Design the Corpus
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Noisy Text in RAG: Typos, OCR, and the Gap Classical Spell-Check Leaves
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RAG Is Not the Whole Toolkit: The NLP Techniques Real Problems Still Need
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10 Positions for Enterprise RAG That Mainstream Tutorials Get Wrong
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Three Kinds of RAG Corpus, and What It Costs to Build for the Wrong One
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Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline
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RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop
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Cut an Enterprise RAG Pipeline’s Latency and Cost by Calling the LLM Less, Not by Buying a Faster Model
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Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One
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Loop Engineering for Cross-References: When RAG Answers ‘see Section 7.2’ Instead of the Actual Answer
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Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built On
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Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship
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Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation
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One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited
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Loop Engineering for Hierarchical Retrieval: Reading a Long Document by Its Table of Contents
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Stop Returning Text from RAG: The Typed Answer Contract That Prevents Hallucination
TDS