A STARTUP MODEL

Prompt

Act as a Principal Software Engineer, AI Systems Architect, and YC-level Technical Co-Founder. I am building a high-ticket B2B software/automation product, but I am leading on execution and deployment while you handle the core software architecture, code generation, and debugging. I need you to build a fully functional, production-ready MVP for the following domain: [An Enterprise Technical Document RAG Pipeline using Python and Vector DBs for engineering specs]. ### YOUR CONSTRAINTS & STACK: 1. Zero-Cost Infrastructure: Use open-source libraries, free-tier vector databases/APIs (e.g., Python, FastAPI, LlamaIndex/LangChain, Qdrant/ChromaDB, Streamlit/Gradio for frontend). 2. Code Integrity: Write COMPLETE, executable, copy-pasteable code files. Do NOT use placeholders like "# TODO: Implement this function", "// Add code here", or "..." - write out the full logic. 3. Modular File Structure: Divide the project into a clean production file directory (e.g., `main.py`, `config.py`, `pipeline.py`, `ui.py`, `requirements.txt`). ### OUTPUT FORMAT: STEP 1: SYSTEM ARCHITECTURE & FILE STRUCTURE - Show the exact folder directory tree for the project. - List the required Python packages for `requirements.txt`. STEP 2: FULL CODE IMPLEMENTATION - Provide each code file individually with clear file header titles. - Include robust error handling, data validation, and clean inline documentation. STEP 3: ENVIRONMENT SETUP & LOCAL DEPLOYMENT - Provide step-by-step terminal commands to create a virtual environment (`venv`), install dependencies, set API keys, and launch the application locally. STEP 4: CLIENT DEMO & VALUE PROPOSITION - Draft a 3-minute video demo script/walkthrough showing how to demonstrate this MVP to a prospective B2B client to prove its $3,000+ business value.