All Articles
Google ADK Callbacks & Guardrails: A Complete Production Guide to Agent Monitoring and Safety Control
Learn how to implement Google ADK Callbacks and Guardrails to monitor and control AI agent behavior in real time. Covers custom logging, safety filters, cost control, and quality assurance with production-ready, verified code examples.
Building a Production RAG System with Gemma 4: Local LLM + Vector Search Architecture
A complete guide to building production RAG systems with Gemma 4, ChromaDB, and pgvector. Covers architecture design, chunking strategies, Long-Context RAG using the 256K window, hybrid search, and performance optimization.
Common Errors When Running Gemma 4 with Ollama or LM Studio — And How to Fix Them
Running Gemma 4 locally with Ollama or LM Studio? This guide covers the most common errors — VRAM issues, model loading failures, slow inference, and connection problems — with concrete solutions.
Gemini Gems Not Working: A Complete Troubleshooting Guide
Gemini Gems ignoring your custom instructions, failing to save, or resetting mid-conversation? This guide covers all 7 common issues with specific causes and fixes, plus a practical template for building Gems that actually work.
Gemma 4 Audio Input and OCR: The Hidden Capabilities Only E2B and E4B Have
Gemma 4's E2B and E4B models are the only variants with native audio input, OCR, and multilingual handwriting recognition. Here's how to implement offline multimodal apps using these capabilities, with practical code examples.
Veo API Not Working? Common Errors and How to Fix Them
Troubleshoot common Veo API errors including polling implementation mistakes, safety filter rejections, quota exceeded, and video file download failures. With working Python code examples.
Fixing Gemini API Errors: 5 Common Problems Developers Hit and How to Solve Them
Gemini API throwing 400 INVALID_ARGUMENT, 429 RESOURCE_EXHAUSTED, or model not found errors? This guide covers the 5 most common issues with exact error messages and step-by-step fixes, including migrating to gemini-2.5-pro-latest.
Weekly Picks: Top 5 Must-Read Articles on Gemini Lab (Apr 7–13)
Our top 5 most-read articles from the week of April 7–13, 2026 — a landmark week for Gemma 4, Gemini 2.5 Pro production guides, and Google AI.
Gemini API Embeddings vs Vector Databases: Pinecone, Qdrant, pgvector, and Cloud Spanner Compared for Production
Benchmark Pinecone, Qdrant, pgvector, and Cloud Spanner Vector using Gemini text-embedding-004 with real latency, cost, and code. The definitive production selection guide.
Integrating Gemini Code Assist into VS Code: A Practical Guide
Most VS Code developers use Gemini Code Assist with default settings. Learn prompt engineering, context caching, and proper configuration to triple your coding speed.
Getting Started with Veo 3.1 Lite API: A Practical Guide to Cost-Effective Video Generation
Learn how to implement cost-effective AI video generation with Google's Veo 3.1 Lite API. This guide covers text-to-video and image-to-video implementation with practical code examples, cost optimization techniques, and production-ready error handling patterns.
Mastering Gemini Memory — Import, Manage, and Fine-Tune Your AI's Context
Learn how to use Gemini's memory (Saved Info) and the new memory import feature. Transfer context from ChatGPT or Claude, manage privacy with Temporary Chats, and personalize your AI experience.