Googles NotebookLM but local

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Use this code to access pipeline to Gemini from inside notebookLM

Study Smarter – AI-Powered Notes App Boost your productivity and understanding with AI-Powered Notes. Take better notes, get instant summaries, and chat with your AI assistant to dive deeper into any topic — all in one streamlined app.

A fully functional Google NotebookLM-inspired web application built using Next.js, TypeScript, and Google Gemini API. This project allows you to upload documents, generate embeddings, and interact with your data through AI-powered chat, all with in-memory search (no database required).

An web-based application using Next/React that enables users to upload and interact with PDF documents through a chat interface. The system should efficiently extract relevant information while minimizing token usage.

A guide to writing effective AI prompts for better results

AI-powered document intelligence platform built with Spring Boot. Features include document summarization, Q&A, content generation, and multi-source synthesis with strong citation support.

A simple chatbot using Gemini API and Jupyter Notebook.

JavaScript example for Gemini API using Jupyter Notebook and Deno

Repositório com prompts e notebooks feitos durante a imersão IA, promovida pela Alura em parceria com o Google.