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Fully managed RAG with automatic chunking, embeddings, and citations for document Q&A. Supports 100+ file formats (PDF, Word, Excel, code) with configurable chunking strategies optimized by content type (technical docs: 500 tokens/chunk, prose: 800, legal: 300) Requires Gemini 3 Pro or Flash models; File Search and Google Search tools are mutually exclusive in single requests Prevents 12 common errors including storage quota miscalculation (3x multiplier), document immutability (delete+re-upload pattern), polling timeouts with manual verification fallback, and metadata limits (20 max fields) Pricing: $0.15 per 1M input tokens for one-time indexing; free tier includes 1 GB storage and 1,500 requests/day; includes cost estimation and deduplication strategies Includes 3 working templates (basic Node.js, Cloudflare Workers edge deployment, Next.js full-stack) plus CLI tools for store creation, batch uploads, and interactive queries Google Gemini File Search Setup Overview Google Gemini File Search is a fully managed RAG system. Upload documents (100+ formats: PDF, Word, Excel, code) and query with natural language—automatic chunking, embeddings, semantic search, and citations. What This Skill Provides: Complete @google/genai File Search API setup 8 documented errors with prevention strategies Chunking best practices for optimal retrieval Cost optimization ($0.15/1M tokens indexing, 3x storage multiplier) Cloudflare Workers + Next.js integration templates Prerequisites 1. Google AI API Key Create an API key at https://aistudio.google.com/apikey
don't have the plugin yet? install it then click "run inline in claude" again.