Google File Search

Comprehensive skill for implementing Google File Search API with Gemini models for Retrieval-Augmented Generation (RAG).

Overview

Google File Search provides managed RAG capabilities through:

• Automatic document chunking and embedding generation
• Semantic search across multiple document types
• Metadata-based filtering for targeted retrieval
• Grounding citations showing source documents
• Persistent storage with file search stores
• Integration with Gemini 2.5 models

Two Official SDKs are available:

• TypeScript/JavaScript: @google/genai npm package
• Python: google-genai pip package

CRITICAL: Use Official SDKs Only