All Articles
Building a Multimodal Document Analysis System with Gemini API — Processing Images, PDFs, and Videos in a Unified Architecture
Learn how to build a multimodal document analysis system using Gemini API. This guide covers file upload, structured data extraction, and batch processing pipelines for images, PDFs, and videos.
Automate Document Summarization and Meeting Notes with Gemini API
Learn how to build an automated document summarization and meeting notes system using the Gemini API and Python. Covers text, PDF, and audio file processing with practical code examples.
Lyria 3 Pro API Complete Implementation Guide — Generate Professional Full-Length Tracks from Text and Images
Learn how to generate full-length music tracks using Google DeepMind's Lyria 3 Pro. Covers Clip/Pro/RealTime model differences, Interactions API, prompt engineering, and monetization strategies.
Gemini × VS Code: The Complete AI Coding Assistant Setup Guide
Learn how to set up Gemini Code Assist in VS Code from installation to practical coding workflows. A step-by-step guide to supercharging your development with AI assistance.
Applying TurboQuant to RAG and Vector Search — New Uses for KV Cache Compression
Google's TurboQuant compression technology extends beyond LLM inference to RAG pipeline vector databases. Learn how embedding vector compression can improve memory efficiency, search speed, and scalability for large-scale RAG systems.
Gemini × Cursor Integration Guide — How to Use Gemini Models in Your AI Editor
Learn how to set up and use Google Gemini models in the Cursor AI editor. This guide covers API integration, prompt techniques, and practical tips for code completion, chat, and Composer features.
Gemini Deep Think vs Adaptive Thinking: Inference Model Selection Strategy & Cost Optimization
Master the differences between Gemini's Deep Think and Adaptive Thinking reasoning modes. Understand how thinking tokens work, select the right mode for your task complexity, and implement API configurations and prompt design strategies to reduce inference costs by up to 50%.
Gemini 3.1 Flash High-Speed Inference API: Implementation Techniques for Streaming, Function Calling & Batch Processing
Master the technical architecture of Gemini 3.1 Flash and understand how fast inference works. Learn optimal implementation patterns for streaming, function calling, and batch processing with code examples. Make data-driven model selection decisions by comparing Flash with Pro models.
Notes from Adding a Gemini-powered Chat to a Flutter App I Run Solo — design choices and gotchas across iOS and Android
Working notes from layering Gemini API on top of a Flutter app I've been shipping to iOS and Android as a solo indie developer. Covers monthly cost breakdown (Gemini + Firestore + AdMob), how I recover streamed responses that stall on iOS background, and the practical line for free vs. premium tiering — with code and real numbers.
How to Analyze and Summarize PDFs with Gemini API — A Practical Python Guide
Learn how to extract text, summarize, and run Q&A on PDF files using the Gemini API in Python. A step-by-step guide covering File API uploads, multimodal processing, and structured data extraction.
Building RAG Agents with Gemini × LlamaIndex — From Document Search to Multi-Step Reasoning
Learn how to build high-accuracy RAG (Retrieval-Augmented Generation) agents using Gemini API and LlamaIndex. A step-by-step guide covering index construction, query engines, and agent design.
Weekly Picks: Top 5 Must-Read Articles on Gemini Lab (3/21–3/27)
This week's top Gemini Lab articles: Deep Think reasoning strategies, Flash 3.1 high-speed API techniques, ADK vs LangChain comparison, TurboQuant compression, and Computer Use browser automation.