The applications of frameworks like Langchain and APIs for creating AI agents and RAGs

demonstrates LangChain Runnables for building modular AI workflows. It covers sequential execution, parallel processing, conditional branching, lambda-based transformations, and direct passthroughs using Google Gemini and OpenAI models. Each file showcases a different runnable: generating reports, summarization, joke creation and content writing

Langchain Tutorial