LangChain Cheatsheet ⚡ LangChain is one of the most popular frameworks for building LLM-powered apps, RAG workflows, chatbots, and AI agents. This cheatsheet breaks down the key ideas: Core concepts → LLMs, prompts, chains, agents RAG workflow → load, chunk, embed, retrieve, generate Vector databases → FAISS, Chroma, Pinecone, Weaviate Memory types → conversation buffer, summary, window, vector memory Agent basics → choose tools, call actions, return answers Best practices → clear prompts, safe tools, structured outputs The simple idea: LangChain helps you connect LLMs + data + tools + memory into useful AI applications. Save this if you are learning AI app development, RAG, or agent workflows.

@PythonDvz Solid cheatsheet for LangChain usage, great recap

@PythonDvz Pure quality insights