ngesa254/upendo

Upendo - A gentle Introduction to RAG with Gemini and Langchains answering questions on Africa Developer Ecosystem 2021 Report. Google Products Implementations: Gemini, Vertex AI, Firebase, Angular # Upendo - A gentle Introduction to RAG with Gemini and Langchains A comprehensive implementation of Retrieval Augmented Generation (RAG) using Gemini API and LangChain, featuring a modern Angular frontend and Python backend. ## Project Overview This project demonstrates the practical implementation of RAG systems with a user-friendly interface. It consists of two main components: ### Frontend (`angular-fe/`) - Modern Gemini-style interface built with Angular 17 - Real-time chat interactions - File upload and voice input capabilities - Responsive design with Tailwind CSS ### Backend (`backend/`) - RAG implementation using LangChain and Gemini API - Document processing and retrieval system - Vector database integration - API endpoints for frontend communication ## Session Abstract Developers will dive into the world of Retrieval Augmented Generation (RAG) with this comprehensive workshop. They will be guided through the process of using LangChain and the Gemini API to effectively retrieve and generate information. ### Key Takeaways * **Gemini fundamentals:** Understand the capabilities, limitations, and different models within the Gemini family * **LangChain mastery:** Learn how to use LangChain to load, store, and retrieve documents for information retrieval * **RAG pipelines:** Build pipelines that combine retrieval and generation to answer complex queries * **Gemini Vision integration:** Discover how to integrate Gemini's vision capabilities into your RAG applications * **Q&A chatbots:** Create intelligent chatbots capable of interacting with stored documents * **Vector DB:** Explore the role of Vector DB in building scalable RAG systems ## Quick Start Guide ### Prerequisites - Node.js v18 or higher - Python 3.8 or higher - Git - Google Cloud account with Gemini API access ### Frontend Setup (Angular) ```bash # Clone the repository git clone github.com cd upendo/angular-fe # Install dependencies npm install # Start …