📄 文章列表
109 篇文章
TDS
How Deep Feature Embeddings and Euclidean Similarity Power Automatic Plant Leaf Recognition
TDS
How to Build an Over-Engineered Retrieval System
TDS
How to Perform Agentic Information Retrieval
TDS
LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models
TDS
The Geometry of Laziness: What Angles Reveal About AI Hallucinations
TDS
Chunk Size as an Experimental Variable in RAG Systems
TDS
HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows
TDS
Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries
TDS
A Geometric Method to Spot Hallucinations Without an LLM Judge
TDS
You Probably Don’t Need a Vector Database for Your RAG — Yet
TDS
How Cursor Actually Indexes Your Codebase
TDS
Optimizing Vector Search: Why You Should Flatten Structured Data
TDS
How to Build Your Own Custom LLM Memory Layer from Scratch
TDS
Scaling Vector Search: Comparing Quantization and Matryoshka Embeddings for 80% Cost Reduction
TDS
Introducing Gemini Embeddings 2 Preview
TDS
Beyond Prompt Caching: 5 More Things You Should Cache in RAG Pipelines
TDS
The Map of Meaning: How Embedding Models “Understand” Human Language
TDS
Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost
TDS
Grounding Your LLM: A Practical Guide to RAG for Enterprise Knowledge Bases
TDS