All Articles
Estimating Gemini API Costs Before You Send — count_tokens in Practice
Use Gemini's free count_tokens call to measure input tokens and costs before each request, then cut spend with caching and model selection.
Choosing a Gemini Model Without Second-Guessing — A Cost, Speed, and Quality Framework
How to pick between Gemini 2.5 Pro / Flash / Flash Lite / Gemini 3 Pro / Flash across cost, speed, and quality. Includes correct google-genai SDK code and the decision rules I use when running automation in production.
Gemini × LangChain Integration — Build RAG, Chains & Agents
Complete guide to using Gemini with LangChain. Covers ChatGoogleGenerativeAI setup, prompt chains, RAG pipelines (ChromaDB + Gemini embeddings), and ReAct agent construction.
Vertex AI Agent Builder Getting Started — Build Gemini Agents with No Code
Build Gemini-powered AI agents with Vertex AI Agent Builder. Covers datastore integration, tool definitions, testing, and Cloud Run deployment.
Gemini 2.5 Pro Production Agent Systems — Tool Calling, State Management & Orchestration
Build production-quality AI agent systems with Gemini 2.5 Pro. Covers parallel tool calling, agent state management, multi-step reasoning loops, error recovery, human-in-the-loop design, and real-world implementation patterns.
Gemini Advanced Document Processing — PDF Analysis, Table Extraction & Automated Review
Advanced document processing with Gemini's multimodal capabilities. Covers full PDF analysis, table and chart extraction, multi-document comparison, automated contract and invoice review. Includes File API integration and context caching patterns.
Gemini Code Execution API: to AI-Generated Code Execution
Master the Gemini Code Execution API. Execute Python code generated by AI in a secure sandbox, perform complex calculations, and automate data analysis tasks.
Gemini in Google Workspace 2026: New Features in Docs, Sheets, Slides & Drive
A deep dive into Google's March 2026 Gemini Workspace update — covering Help me create, Ask Gemini in Drive, Match writing style, and AI-powered Sheets. Includes code samples for developers.
Gemini 1M Token Long Context Strategies — Production Patterns for Large Document Processing
Master Gemini 2.5 Pro's 1M token context window for production workloads. Covers context caching, chunking strategies, RAG comparison, cost optimization, and real-world codebase + PDF corpus analysis.
Vertex AI Gemini Production Guide— Enterprise-Scale Deployment Implementation
Deploy Gemini at enterprise scale on Vertex AI. Covers service account auth, provisioned throughput, prompt filtering, Cloud Run integration, monitoring, and cost management for production workloads.
Building Multimodal RAG Systems with Gemini: Processing Images, Video, and Text Together
Master multimodal retrieval-augmented generation with Gemini. Learn to process images, video frames, and text in unified RAG pipelines with production patterns.
Fine-Tuning Gemini: Building Specialized Models for Domain-Specific Applications
Complete guide to fine-tuning Gemini models. Learn dataset preparation, training strategies, evaluation metrics, and production deployment for custom AI.