All Articles
Building GraphRAG with the Gemini API — A Complete Production Guide to Hybrid Knowledge Graph + Vector Retrieval
When pure vector search hits a wall on multi-hop, relational, and aggregation queries, GraphRAG fills the gap. This guide walks through a production hybrid GraphRAG architecture powered by Gemini 2.5 Pro and Flash, with working code.
Zod × Gemini API: Type-Safe Structured Output Validation in TypeScript
Pattern for validating Gemini API structured output with Zod schemas. Covers why type casting is unsafe, JSON Schema conversion, and retry design when validation fails — with working TypeScript code.
Evolving Gemini API Structured Output Schemas Without Breaking Production
Once you ship a Gemini structured output, the schema will need to change. Walk through a three-layer versioning design that lets you add fields, change types, rename, or retire safely — with concrete migration code and the operational pitfalls I learned the hard way.
Migrating Working Code from AI Studio to Vertex AI: A Solo Developer's Hands-On Walkthrough
What actually changes when you move existing Gemini API code from AI Studio to Vertex AI. Includes side-by-side code diffs for SDK init, auth, and response parsing.
Citation-Grounded RAG with Gemini: Production Patterns for Source Attribution and Hallucination Detection
A practical guide to wiring trustworthy citations into a Gemini-powered RAG pipeline. Covers structured output, post-hoc validation, UI rendering, and a quantitative grounding score you can put on a dashboard.
Why 'contents must alternate between user and model' Won't Go Away in the Gemini API — and How to Fix It
A focused guide to the Gemini API's 'contents must alternate between user and model' error — what really triggers it, why role names from OpenAI break it, and how to fix Function Calling and system_instruction pitfalls with copy-pasteable code.
Why count_tokens Lies: 5 Reasons Your Gemini API Bill Is Higher Than You Estimated — A Reconciliation Playbook
count_tokens said 1,200 tokens. Cloud Console billed you for 4,800. I made the same mistake building my first indie app on Gemini. This guide walks through the five hidden contributors — thinking, tools, multimodal, history, caching — and how to reconcile them with reproducible code.
Speaker Diarization with Gemini API: A Practical Guide for Meetings and Podcasts
Use the Gemini API's multimodal audio understanding to label who said what in meeting recordings and podcasts — with a working Python example and prompt design tips.
Putting an AI That Answers Phones Into Production: Building a Phone Voice Agent With Gemini Live API and Twilio Media Streams
Bridge Twilio Voice and Gemini Live API over WebSocket to build a phone-answering AI agent that holds up in production. Full code, interruption handling, function calling, deployment notes, and per-minute cost math.
A Blueprint for Production-Grade Structured Output with Gemini API
A practical blueprint for running Gemini API's Structured Output reliably in production. Covers schema design, error handling, and performance optimization end-to-end.
Production-Grade PII Redaction for the Gemini API — Detection, Masking, and Audit Logging That Actually Pass a Privacy Review
Are you piping raw user text straight into the Gemini API? This guide walks through detection, masking, and audit-log design so you can keep PII out of model traffic and pass GDPR, SOC 2, and customer privacy reviews — with code you can ship today.
Migrating to @google/genai: Seven Errors That Will Eat Your Afternoon
A field-tested guide to the seven errors you are most likely to hit when migrating from @google/generative-ai to @google/genai, with copy-paste fixes for Node.js and TypeScript codebases.