LangChain - LLM Applications with Agents & RAG The most popular framework for building LLM-powered applications. When to Use - Building agents with tool calling and reasoning (ReAct pattern) - Implementing RAG (retrieval-augmented generation) pipelines - Need to swap LLM providers easily (OpenAI, Anthropic, Google) - Creating chatbots with conversation memory - Rapid prototyping of LLM applications --- Core Components | Component | Purpose | Key Concept | |-----------|---------|-------------| | Chat Models | LLM interface | Unified API across providers | | Agents | Tool use + reasoning | ReAc…