Hey everyone,
I built an AI Chatbot for my Angular Cookbook's website! 🚀📖
Ever wished your documentation could talk back? Now it can! I built an AI-powered chatbot using Gemini 2.0 Flash, Python, and Angular for my book’s website: ng-cookbook.com.
The chatbot helps visitors quickly find answers related to Angular by referencing my Angular Cookbook content. Whether it's a best practice, a code snippet, or a deep dive into an Angular feature, the bot is here to assist! 🤖
Tech Stack & Deployment 🌐
✅ Frontend: Angular Open-sourced on GitHub
✅ Backend: FastAPI, Python, Google Gemini 2.0 Flash - Open-sourced on GitHub
✅ Deployed on:🔹 Frontend: Netlify 🔹 Backend: Railway.app
Why I Built This?
🔹 To make Angular learning interactive & instant
🔹 To help developers get answers without endless searching
🔹 To experiment with RAG (Retrieval-Augmented Generation) using Gemini 2.0
🔥 And it’s just the beginning! I plan to refine responses, improve accuracy, and add more interactive features.
Would love to hear your thoughts! What’s your experience with AI-powered documentation or chatbots? Drop a comment! 💬
Code repos:
https://github.com/AhsanAyaz/ng-cookbook
https://github.com/AhsanAyaz/ng-cookbook-assistant
#builtwithgemini #AIChatbot #Angular #Python #OpenSource #MachineLearning #AngularCookbook