generative_ai_project

Why we included this project

The first few days of a generative AI project tend to fill up with the same questions: where prompts should live, how to swap between model providers, and what to do when a model call fails. This template settles those before you write product logic, laying out a project skeleton with separate modules for agents, memory, retrieval, pipelines, prompt chains, and multimodal input. It also handles the reliability work that usually surfaces late, including PII filters, output validation, fallback routing on LLM errors, caching, rate limiting, and token counting. A developer or small team that would rather spend its time on the actual application than on folder structure and scaffolding gets a sensible starting point here, one that is easy to adapt to its own stack.