WL
AI Prompt Universal Formula: Write High-Quality Prompts in 4 Steps
The universal prompt formula combines precise role positioning, clear task requirements, fixed output specifications, an...
WL
Dual-Engine Architecture: Files vs Vector Databases
Claude Code's memory system uses both Markdown files and vector databases as storage engines. This article takes a deep ...
WL
Intention-driven: How AI understands what you're looking for
The user asked a question, how does the memory system determine which engine to look for, what layer to look for, and ho...
WL
LangChain Core Modules: What Each One Actually Solves
A deep dive into LangChain's six core modules: LLM and Prompt Management, Chain, LCEL, RAG, Agent, and Memory. For each ...
WL
What Is LangChain? A Beginner Guide to the AI Application Framework
LangChain is one of the most popular frameworks for building AI applications. This article explains what LangChain actua...