Ingested but Never Cited: Pruning a File Search Store with Citation Logs and a Quarantine Window
Most documents in a File Search store are never cited, quietly draining both cost and retrieval quality. Learn to log grounding metadata, surface never-cited documents from real usage data, and prune them safely with a quarantine window — with working code.
url_context Still Answers When the Fetch Fails — Gating on Retrieval Status Before You Trust It
The url_context tool returns a confident answer even when it failed to fetch the target page. This walks through reading url_retrieval_status from url_context_metadata to build a verification gate, plus a fallback that only finalizes an answer when the source URL was truly read.
When Your Gemini Agent Has Three Tool Routes and Quietly Picks the Wrong One
Put Function Calling, Code Execution, and Grounding into one agent and the model will sometimes choose the wrong route, while the output still looks perfectly plausible. Here is how I instrument route selection and correct it with phase separation and verification gates, with working code.
Citing the exact page and figure in File Search answers with visual-citation metadata
File Search grounding metadata now carries media_id and page_numbers, so you can trace each sentence of an answer back to a specific page and figure. Here's how I built a sentence-level, verifiable citation layer over a mix of PDFs and images.
When Gemini's Maps Grounding Quietly Fails in Production — Field Notes on Attribution, Billing Boundaries, and Fallbacks
An operations-focused look at the pitfalls that surface after you ship Grounding with Google Maps on Gemini: detecting silent grounding misses, meeting the attribution requirement, knowing which responses are billed, and building fallbacks for latency and staleness.
Gemini API Grounding × Structured Output Guide — Turn Web Search Results into Typed JSON Data
Combine Gemini API Grounding with Google Search and Structured Output to extract real-time web information as type-safe JSON data. Practical implementation patterns included.
Building location-aware AI with Gemini's Google Maps grounding: pricing and the source-display rules tutorials skip
How to ship a 'recommend something nearby' feature with Gemini API's Google Maps grounding, with the $25/1K cost design and the source-display obligations laid out for indie developers.
Citation-Grounded RAG with Gemini: Production Patterns for Source Attribution and Hallucination Detection
A practical guide to wiring trustworthy citations into a Gemini-powered RAG pipeline. Covers structured output, post-hoc validation, UI rendering, and a quantitative grounding score you can put on a dashboard.
Gemini File Search API — Build AI Responses Grounded in Your Own Data Without RAG
Learn how to use Gemini File Search API to build AI responses grounded in your own documents without vector databases or RAG pipelines, with production-ready implementation patterns.
Google Personal Intelligence × Gemini API — Build Personalized AI Experiences
Personal Intelligence enables Gemini to access Gmail, Google Photos, Calendar data for personalized responses. Implement Grounding with Google Services for custom apps.
Gemini External Tool Integration — Grounding and Function Calling in Practice
How to connect Gemini to external services and your own data, covering both the in-app integrations and the API tools parameter: Google Search grounding, the full Function Calling round-trip, and the latency and cost trade-offs to plan for.
Grounding with Google Search — Improve Gemini's Accuracy with Search
Learn how to use Gemini API's Grounding with Google Search to generate accurate, up-to-date responses. Covers Dynamic Retrieval, source citations, and cost management.