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.
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.
Gemini API Multimodal Input Optimization — Production Techniques to Cut Token Costs for Images, PDFs, Video, and Audio
Cut your Gemini API multimodal token costs by up to 70% in production. Practical optimization techniques for images, PDFs, video, and audio with working Python code examples.
Building Voice Apps with Gemini 2.5 Flash TTS: From Low-Latency Synthesis to Production Optimization
How to build voice apps with Gemini 2.5 Flash TTS. Covers low-latency speech synthesis, expressiveness control, streaming playback, and cost optimization with implementation code.
Gemini API Production Performance Tuning — A Triple Optimization Strategy for Latency, Throughput, and Cost
Learn how to simultaneously optimize latency, throughput, and cost in production Gemini API deployments. Covers Flex/Priority inference, Context Caching, intelligent model routing, and async batch processing with working code and benchmark results.
Connecting Gemini Agents with Google's A2A Protocol: Design, Implementation, and Cloud Run Operations
Build cross-framework agent coordination with the Agent2Agent (A2A) protocol and Gemini API. Agent card design, measured comparison of three coordination patterns, and the operational details that matter on Cloud Run.
Gemini API Rate Limits and 429 Handling: Operational Notes from an Indie Mobile App
Operational notes on handling Gemini API rate limits and 429 errors in a production indie mobile app: exponential backoff, adaptive control, multi-key pooling, and Cloud Monitoring integration, all rebuilt after a real incident.
Building a Production Content Moderation System with Gemini API: A
A complete guide to building a production-grade content moderation system with the Gemini API. Covers custom safety criteria, multimodal inspection of text and images, async batch processing, Human-in-the-Loop workflows, and cost optimization.
Google AI Studio × Gemini API Production Guide — Reduce Input Costs by 90%
Master Gemini API and Google AI Studio. Complete production guide: Gemini 3/3.1 Pro, Context Caching, Batch Mode, MCP, Vertex AI integration, and cost optimization.
Gemini 2.5 Pro & Python Async Mastery: Building High-Throughput Production API Systems
Master asyncio, parallel batch processing, and rate limit management to unlock Gemini 2.5 Pro's full potential. From async clients to streaming, checkpointing, and production observability — all with working code.
Gemini API × Cloud Storage: Building a Production Pipeline for 100MB File Processing with Private DB Integration
Learn how to build production-grade file processing pipelines using Gemini API's Cloud Storage integration and 100MB upload support, with GCS buckets, pre-signed URLs, and cost optimization strategies.
Gemini API Semantic Router: Implementation Notes for Splitting Flash and Pro Smartly
Implementation notes for building a production-grade semantic router that automatically dispatches Gemini queries between Flash and Pro. Includes Python and TypeScript working code, a two-stage design pattern, and seven implementation insights from running it inside an indie wallpaper app.