1. Questions Arising from the Right-Side Menu In my previous article on implementing the "right-side menu" function (see: Building a "Lightweight Knowledge Index" for Blogs (Part 7): Right-Side Menu—A Unified Organization Mechanism for Semantic Space and Classification System), I used a classification recommendation algorithm based on semantic similarity. Its core…

1. Introduction In previous articles in this series, I added two features to the bottom of the article page: "Related Articles" (see: Building a Lightweight Knowledge Index for Your Blog (Part 3): Design and Implementation of a Lightweight Recommendation System for WordPress Based on Pre-computed Semantic Indexes) and "Guess What You Might Want,"...

1. Why Add Summaries to Blog Posts? After the first five articles in this series, I've implemented features like "Series Article Cards," "Related Articles," and "You Might Want" after the main body of each blog post. Combined with several "maps" and "Content Structure Hints" for each article, my…

1. Why is a "Guess What You Think" feature still needed? Because it overlaps with the "Right-side Menu" feature added to article pages, after some consideration, it was decided to remove the "Guess What You Think" feature. However, this article will retain it as a reference example for implementing similar features. In a previous article (see: Building a Blog…),

1. Changes Occurring in the AI Era In today's society, AI has gradually permeated daily life. ChatGPT, Claude, Gemini, and domestic large-scale model products like Doubao and DeepSeek are already familiar to ordinary people, who can use them to solve some basic problems…

1. From Experimentation to Fundamental Capability: In a previous article introducing RAG, I mentioned that the core tool for vectorizing segmented text is the "embedding model" (see article: Understanding RAG from Scratch (Part 1): Principles and Complete Process Analysis). In subsequent articles…

1. Introduction In a previous article (see: Home Data Center Series: Understanding RAG from Scratch (Part 1): Principles and Complete Process Analysis), I introduced the theoretical five-step process of RAG: "Segmentation → Vectorization → Vector Storage → Retrieval → Answer Generation"; subsequently…

1 Introduction: In my previous articles on RAGs and knowledge bases, the word vector frequently appears. It can be said that vector is one of the core concepts of AI. Anyone who has had some exposure to AI is likely familiar with this term. In fact, even without AI, everyone is familiar with the concept of vector...

1. The Crisis and Value of Personal Blogs Today. Once upon a time, personal blogs (hereafter referred to as blogs) were a beautiful form of writing on the internet. It was an era when everyone was willing to write and share their experiences: programmers recorded their study notes, travelers wrote down their travel stories, and food lovers…

1 Introduction In the previous article, I reviewed the core concepts and processes of RAG (see the article: Understanding RAG from Scratch in the Home Data Center Series (Part 1): Principles and Complete Process Analysis). However, that was still theoretical, just talk. To truly make RAG work, it must...