LangChain Components Deep Dive 📌 LangChain Series · Study Notes LangChain Components: The Six Pillars You Need to Know A structured deep-dive into Models, Prompts, Chains, Indexes, Memory & Agents — with code, diagrams, and the mental models behind each one. 🗓 January 2025 ⏱ ~12 min read 🏷 LangChain · LLM · RAG · AI Agents 📋 What's Inside Models Prompts Chains Indexes (RAG) Memory Agents LangChain isn't just another Python library — it's an orchestration framework that turns raw LLM API calls into structured, production-grade AI applications. Whether you're building a customer support bot, a document Q&A system, or an autonomous AI agent, LangChain gives you six core building blocks to do it. This post breaks down all six components from the ground up — starting with the intuition, then the code, then the "why it matters...