All Articles
Building a Prompt Evaluation & Optimization Pipeline with Gemini API — Automated Quality Scoring with LLM-as-Judge
Learn how to build a prompt evaluation pipeline using Gemini API. Covers the LLM-as-Judge pattern, A/B testing prompts, automated quality scoring, and cost-quality optimization for production systems.
Weekly Picks: Top 5 Must-Read Articles on Gemini Lab (Mar 18–25)
Your weekly roundup of the most-read articles on Gemini Lab. From Gemini 3.1 Pro's custom tools to browser automation, here are the top 5 articles you shouldn't miss.
Build a Gemini API Telegram Bot with Python: A Practical Guide
Learn how to build a multimodal AI Telegram bot using the Gemini API and python-telegram-bot library. This step-by-step tutorial covers text conversations, image analysis, and document processing.
Google AI Pro's Hidden Perks — How to Make the Most of 2TB Storage, NotebookLM Plus, and 1,000 AI Credits
Google AI Pro ($19.99/month) includes much more than Gemini Advanced. Discover the hidden perks — 2TB storage, NotebookLM Plus, 1,000 AI credits, and more — that make this plan an incredible value.
NotebookLM API × Gemini API — Automate Your Research Workflow with Python
Build an automated research pipeline by combining the NotebookLM Enterprise API and Gemini API in Python. Complete with working code examples for paper collection, summarization, podcast generation, and report creation.
Build an AI Product Image Analysis Tool with Gemini API and Python
Learn how to build a product image analysis tool using Gemini API's multimodal capabilities and Python. Automatically generate tags, descriptions, and categories with structured output and batch processing.
Gemini Structured Output Production Guide — Type-Safe AI Responses with JSON Schema
A practical guide to using Gemini API's Structured Output in production. Covers JSON schema definition, validation strategies, error handling, and building complex data extraction pipelines.
Gemini API Context Caching— Cut Document Processing Costs by 90%
Learn how to use Gemini API's context caching to reduce repetitive document processing costs by up to 90%. Includes Python SDK implementation, caching strategies, and cost calculations.
Building a Semantic Search Engine with Gemini API and PostgreSQL pgvector — From Embeddings to Production Deployment
Learn how to build a production-ready semantic search engine using Gemini's Embedding API and PostgreSQL pgvector. Covers vector generation, index optimization, and building a FastAPI search service with practical code examples.
Gemini × Google Workspace March 2026 Update— What's New in Docs, Sheets, Slides, and Drive
A complete breakdown of the March 2026 Gemini × Google Workspace update. Learn how to use Help me create in Docs, Fill with Gemini in Sheets, auto-generated presentations in Slides, and cross-app insights in Drive.
NVIDIA NeMo Framework × Gemini API — Enterprise LLM Fine-Tuning and Hybrid Inference Pipeline
Build enterprise-grade LLM systems using NVIDIA NeMo Framework for GPU-accelerated fine-tuning and hybrid inference with Gemini API. Complete implementation guide.
NotebookLM Enterprise API × Gemini — Mastering Programmatic Podcast Generation and Enterprise Knowledge Base Architecture
A comprehensive guide to building scalable knowledge management systems with NotebookLM Enterprise APIs. Master Podcast API for automatic audio generation, Notebook API for programmatic resource management, and Gemini integration for enterprise-grade knowledge retrieval—with production-ready implementation patterns.