📄 文章列表

41 篇文章
TDS

Validating the RAG Answer Before the User Sees It: Spans, Quotes, and the Feedback Loop

✅ completed ⭐ ☆☆☆☆☆ 2026-07-06
TDS

A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers

✅ completed ⭐ ☆☆☆☆☆ 2026-07-07
TDS

Context Engineering for RAG : The Four Typed Inputs Behind Every RAG Answer

✅ completed ⭐ ☆☆☆☆☆ 2026-06-30
TDS

The Untaught Lessons of RAG Question Parsing: Structure Before You Search

✅ completed ⭐ ☆☆☆☆☆ 2026-07-02
TDS

An LLM as arbiter in RAG retrieval: picking the right candidate with reasons

✅ completed ⭐ ★★★☆☆ 2026-06-25
TDS

Amplify the Expert: A Philosophy for Building Enterprise RAG

✅ completed ⭐ ★★★☆☆ 2026-06-26
TDS

When RAG Users Ask Vague Questions: Clarify Once, Learn the Default

✅ completed ⭐ ★★★☆☆ 2026-06-22
TDS

Retrieval Is Filtering, Not Search: A Mental Model for Enterprise RAG

✅ completed ⭐ ★★★☆☆ 2026-06-23
TDS

Anchor Detection for RAG: Parallel Detectors, Then One LLM Call at the End

✅ completed ⭐ ★★★☆☆ 2026-06-24
TDS

Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Corpus scale

✅ completed ⭐ ★★★★★★ 2026-05-22
TDS

Baseline Enterprise RAG, From PDF to Highlighted Answer

✅ completed ⭐ ★★★★★★ 2026-05-29
TDS

Embeddings Aren’t Magic: The Predictable Failure Modes of RAG Retrieval

✅ completed ⭐ ★★★★★★ 2026-05-30
TDS

Rerankers Aren’t Magic Either: When the Cross-Encoder Layer Is Worth the Cost

✅ completed ⭐ ★★★★★★ 2026-05-31
TDS

RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem

✅ completed ⭐ ★★★★★★ 2026-06-01
TDS

From Regex to Vision Models: Which RAG Technique Fits Which Problem

✅ completed ⭐ ★★★★★★ 2026-06-02
TDS

10 Common RAG Mistakes We Keep Seeing in Production

✅ completed ⭐ ★★★★★★ 2026-06-09
TDS

Beyond extract_text: The Two Layers of a PDF That Drive RAG Quality

✅ completed ⭐ ★★★★★★ 2026-06-10
TDS

Stop Returning Flat Text from a PDF: The Relational Tables RAG Needs

✅ completed ⭐ ★★★★★★ 2026-06-11
TDS

RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation

✅ completed ⭐ ★★★★★★ 2026-06-16
TDS

What the Question Parser Extracts from a User String: Keywords, Scope, Shape, Decomposition, Clarification

✅ completed ⭐ ★★★★★★ 2026-06-17