Cutting Down 'Plausible but Wrong' RAG Answers — A Retrieval Evaluation Harness for Gemma 4 and Antigravity
Replace gut feeling with recall@5, MRR and faithfulness scores — a 30-question golden dataset and a small Python harness for evaluating a local Gemma 4 RAG stack.
Designing Knowledge Freshness for Antigravity AI Agents — A Runtime Architecture for Model Cutoffs, Corpus Staleness, and Real-World Time Drift
Antigravity agents have to juggle three independent time axes — model cutoff, RAG corpus update, real-world clock — or they will confidently cite six-month-old documentation. Here is the runtime architecture I use, with working TypeScript code and the TTL thresholds I run in production.
Building a RAG App with Supabase Vector (pgvector) and Antigravity
Learn how to build a Retrieval-Augmented Generation (RAG) app using Supabase's pgvector extension and Antigravity. Covers embedding generation, similarity search, and Gemini API integration with practical code examples.
Gemma 4 × Antigravity Complete Practical Guide — Local LLM, RAG, Ollama/LM Studio Integration
A practical, production-grade guide to running Antigravity with Gemma 4 — covering local LLM setup, RAG pipelines, Ollama/LM Studio integration, and fine-tuning. Includes troubleshooting and operational best practices.
Antigravity × Cloudflare Vectorize: Build a Production RAG Pipeline That Runs at the Edge
A production guide to building a RAG pipeline on Cloudflare Vectorize using Antigravity. Chunking, hybrid search, cost design, and observability—covered at a depth a solo developer can actually ship.
Building a RAG Pipeline with Gemma 4 and ChromaDB: Implementation
A complete walkthrough of building a local RAG pipeline using Gemma 4 + Ollama + ChromaDB + LangChain. Includes production-ready Python code with error handling, cost comparison, and practical tips from real-world use.
Antigravity × Firebase Genkit: Building Production AI Apps—From Flow Design to Deployment
A complete guide to building production AI apps with Firebase Genkit and Antigravity. Covers type-safe flow design, RAG pipelines, streaming, and deployment—all with working code examples.
AI Agent Memory Design: 4 Patterns for Context That Persists Beyond a Single Conversation
A practical breakdown of four memory architectures for AI agents — from in-session compression to episodic storage — with implementation code and the gotchas that only show up in production.
Google Antigravity Python SDK Production Masterguide: Multimodal, Agents, and RAG Pipelines from Design to Deployment
The complete guide to using the Google Antigravity Python SDK in production. Covers multimodal input, tool calling, RAG pipelines, streaming, cost optimization, and Cloud Run deployment with working code examples.
Antigravity × Custom AI Chatbot Pipeline — Building Production-Grade Assistants with RAG, Function Calling, and Streaming UI
Learn how to build a production-grade AI chatbot by integrating RAG, Function Calling, and Streaming UI with Antigravity — from architecture design to Cloudflare Workers deployment.
Building a RAG Pipeline with Antigravity— Unlock Your Company's Knowledge with Vector Search and LLMs
A comprehensive guide to designing and implementing RAG (Retrieval-Augmented Generation) pipelines using Antigravity. Covers embedding generation, ChromaDB integration, hybrid search with reranking, prompt optimization, and production best practices.
Building Edge AI Apps with Antigravity and Cloudflare Workers AI
A complete guide to building and deploying production-grade edge AI applications using Antigravity IDE's agent features and Cloudflare Workers AI. Covers RAG pipelines, streaming responses, cost optimization, and observability.