A curated collection of the strongest NotebookLM slide prompts sourced from the real creative underground . Your go-to resource for AI powerpoint :P

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

Google NotebookLM over MCP + a local HTTP REST API. Citation-backed Q&A, audio/video/content generation, multi-account rotation. For Claude Code, Codex, Cursor, n8n, Zapier, Make.

A REST API wrapper for Google NotebookLM powered by notebooklm-py

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.

Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.

Use this code to access pipeline to Gemini from inside notebookLM

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.

A command line tool to concatenate files to maximize content for Google NotebookLM sources

TypeScript SDK for programmatic access to Google NotebookLM

AI/ML Recipes for Vertex AI, Serverless Spark and BigQuery open-source project is an effort to jumpstart your development of data processing and machine learning notebooks using VertexAI, BigQuery and Dataproc's distributed processing capabilities.

This script converts Gemini history data exported via Google Takeout (default: MyActivity.json) into sequential Markdown files (default: Gemini_History-00.md) that are easy to import into NotebookLM.

Transform NotebookLM artifacts into world-class presentation blueprints. Generates tailored **Master Prompts** that guide NotebookLM to produce professional slide decks with strategic narrative structure.

In situ interactive widgets for responsible AI 🌱

Provide full Python API access to NotebookLM features, including advanced functions beyond the web interface, via CLI and AI agent integration.

Zigao 的 AI 笔记本

This repository contains notebooks for building knowledge graphs and using them to improve Retrieval Augmented Generation (RAG) systems. RAG leverages knowledge graphs with embedding models to enhance the quality of text retrieved for language models.

Fix typos in AI-generated slides without starting over. Drag to select any text region — Gemini OCR recognizes it, you edit it, AI restores the background. No Photoshop, no regeneration. Export as PDF or PNG. BYOK supported.

Curious how LLMs actually work? This is 10 hands-on notebooks that go from tokenization and generation to RAG, hallucinations, and building AI agents — all through experimentation.

Herramientas educativas en Python para generar diálogos a dos voces con Gemini TTS y transcribir audio con Whisper.