A collection of runnable examples using LangChain and Groq LLMs, demonstrating different AI workflow patterns like sequence, parallel, branch, passthrough, and lambda operations. Perfect for learning modular AI development with LLMs.

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