Our Mission and Tonight's Sessions
Dear Member,
The Generative AI for Absolute Beginners and Vibe Code AI for Absolute Beginners community has grown to 1,000 members! Thank you for your continued support as we grow the community of AI designers and builders.
Mission
Our mission isn’t about turning you into a professional developer. It’s to equip you to lead teams that build AI-powered applications — whether you are an entrepreneur, innovator, or future team lead. An essential capability that goes with that:
knowing how to create, iterate, and evaluate prototypes.
We have two sessions tonight. See below for a description.
Link for Both Sessions
https://riverside.fm/studio/genaifab-july
Getting Started with Vibe Coding: Build Your First AI App
Tuesday, July 15, 2025
7:30 PM to 8:15 PM EDT
Tonight, we’ll walk through the full workflow for building a prototype from scratch. You’ll see how AI-based tools can generate most of the code, freeing you to focus on ideas and functionality rather than syntax. The steps we cover will form a repeatable pattern you can use to build your own prototypes.
During the session we will build a "Healthy Meal Planner" from scratch.
Executive Summary
A demonstration prototype for a workshop that generates daily healthy meal plans using local LLMs via Ollama. The app provides busy professionals with three nutritious, whole-food-based meals (breakfast, lunch, dinner) tailored to specific dietary preferences like vegetarian eating patterns.
Problem Statement
Busy professionals struggle to plan healthy, nutritious meals on a daily basis. They need quick, practical meal suggestions that avoid refined foods and processed ingredients while fitting their dietary preferences and time constraints.
Target User
Primary Persona: Busy professional
Works full-time with limited meal planning time
Health-conscious but needs guidance on practical meal choices
Prefers whole foods over processed options
Plans meals either the night before or morning of
Values simplicity and quick decision-making
Intro to Retrieval-Augmented Generation (RAG)
Tuesday, July 15, 2025
8:30 PM to 9:15 PM EDT
Retrieval-Augmented Generation (RAG) is a powerful way to build AI apps and Expert Models that are both privacy-aware and domain-specific. By running models locally and keeping your documents in your own environment, you can protect sensitive information, intellectual property, and internal knowledge—while still getting the benefits of advanced AI.
In this beginner-friendly workshop, we’ll show you how RAG works and walk through building a simple local app that can answer questions using your own files and data. Whether you’re working with product manuals, company knowledge bases, or research archives, this session will help you take the first step.
Anatomy of a RAG system:
Loading and splitting your documents
Creating embeddings and storing them in a vector database
Retrieving context and building AI-ready prompts
Tools we’ll use:
VS Code
Ollama (for running language models locally)
LangChain or LlamaIndex (to manage the RAG pipeline)
Chroma or FAISS (for vector search)