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google-gemini-file-search

Index diverse file formats for natural-language Q&A with Google Gemini File Search.

52|6|Updated Nov 24, 2025
Search Tags:#semantic search#knowledge base#citations#document search#google genai#gemini file search
One-click install
npx skills add https://github.com/ovachiever/droid-tings --skill google-gemini-file-search-ovachiever
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-gemini-file-search
Source: https://github.com/ovachiever/droid-tings/tree/main/skills/google-gemini-file-search
Command: npx skills add https://github.com/ovachiever/droid-tings --skill google-gemini-file-search-ovachiever

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @google/genai, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Build document Q&A systems and searchable knowledge bases using Google Gemini File Search—fully managed, with automatic chunking, embeddings, and citations.

Core Features & Use Cases

  • 100+ file formats supported for indexing
  • Fully managed embeddings and semantic search
  • Built-in grounding citations with per-document metadata
  • Configurable chunking and metadata filters
  • Cost-aware indexing (pay-per-indexing)

Quick Start

Set up a Gemini File Search store, upload documents, and start querying with natural language.

Frequently Asked Questions about google-gemini-file-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a document search system with semantic search and citations?▼

Semantic search with automatic citations indexes your documents using Google Gemini File Search, extracting meaning from content across 100+ file formats and returning grounded answers linked to source documents.

Can I use Google Gemini File Search to index my knowledge base?▼

Yes, Gemini File Search fully manages indexing for knowledge bases—it handles chunking, embeddings, and metadata filtering automatically, letting you query with natural language across diverse file types.

What file formats does Gemini File Search support?▼

Gemini File Search supports 100+ file formats, including PDFs, Word documents, spreadsheets, code files, and text-based content, enabling unified indexing across corporate knowledge bases and technical documentation.

How does document Q&A with Gemini embeddings work?▼

Gemini embeddings convert document chunks into semantic vectors, enabling natural-language queries to find relevant content by meaning rather than keywords, with automatic citations linking answers back to source documents.

What's the cost model for indexing documents with Gemini File Search?▼

Gemini File Search uses pay-per-indexing pricing—you pay only when indexing documents, not per query, making it cost-aware for large-scale knowledge bases and frequent document uploads.

Can I use Gemini File Search with Gemini 2.5 Pro and Flash models?▼

Yes, Gemini File Search is compatible with both Gemini 2.5 Pro and Flash, allowing you to choose the model that balances performance and cost for your document Q&A and retrieval needs.

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