All Articles
Build an AI Document Summarizer with Gemini API and Python Flask — Hands-On Tutorial
Learn how to build a web app that automatically summarizes text and PDF documents using the Gemini API and Python Flask. From prompt design to deployment.
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.
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 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
A hands-on guide to building high-accuracy RAG agents with Gemini API and LlamaIndex — measured chunk-size comparisons, full hybrid-search and reranking implementations, an evaluation loop, and incremental sync that follows edits and deletions.
Gemini File Search API — Build AI Responses Grounded in Your Own Data Without RAG
Learn how to use Gemini File Search API to build AI responses grounded in your own documents without vector databases or RAG pipelines, with production-ready implementation patterns.
Building AI-Powered Android Apps with Gemini API and Kotlin
Integrate Gemini API into a Kotlin Android app with the Firebase AI Logic SDK — from setup through production realities: measured first-token latency, model tiering, on-device fallback, and cost estimation, with notes from real indie-app use.
Apple × Google Gemini Partnership Guide— The New Era of On-Device AI for iOS
A comprehensive look at the Apple-Google Gemini partnership. Learn about Siri integration in iOS 26.4, Private Cloud Compute, and what it means for the future of AI on Apple devices.