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google-gemini-file-search

Create and query document knowledge bases with Google Gemini's File Search API.

54|Updated Nov 19, 2025
Search Tags:#semantic search#rag#knowledge base#gemini#file search#document q&a
One-click install
npx skills add https://github.com/dennislee928/Ethic-Latex --skill google-gemini-file-search-dennislee928
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-gemini-file-search
Source: https://github.com/dennislee928/Ethic-Latex/tree/main/.claude/skills/google-gemini-file-search
Command: npx skills add https://github.com/dennislee928/Ethic-Latex --skill google-gemini-file-search-dennislee928

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the process of building powerful document Q&A and knowledge base systems by leveraging Google Gemini's managed Retrieval-Augmented Generation (RAG) capabilities, eliminating the need for complex infrastructure.

Core Features & Use Cases

  • Managed RAG: Fully managed system for document search and Q&A.
  • Broad Format Support: Handles over 100 file types including PDFs, Word, Excel, and code.
  • Automatic Citations: Provides grounding metadata to trace answers back to source documents.
  • Use Case: Imagine you have a large internal knowledge base of company policies and procedures. This Skill allows employees to ask natural language questions and receive accurate answers directly from the documents, complete with citations to the relevant policy sections.

Quick Start

Use the google-gemini-file-search skill to set up a knowledge base by uploading the document 'company_policies.pdf'.

Frequently Asked Questions about google-gemini-file-search

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

FAQPage Schema
How does semantic search work for unstructured document knowledge bases?▼

Google Gemini File Search handles over 100 file formats, including PDFs, Word, Excel, and code files. This broad format support allows you to query diverse document types directly without needing separate parsing tools.

How do I get answers with citations from my PDF documents?▼

You can build a document Q&A system by uploading files like 'company_policies.pdf' to create a knowledge base. This setup allows employees to ask natural language questions and receive accurate answers directly from the uploaded documents.

Do I need to set up my own chunking infrastructure for document Q&A?▼

No, you do not need to set up your own chunking infrastructure for document Q&A. This Skill leverages Google Gemini's fully managed RAG capabilities, automatically handling chunking, embedding, and retrieval without complex infrastructure setup.

What is the best way to perform Retrieval-Augmented Generation across multiple file types?▼

The best way to perform Retrieval-Augmented Generation across multiple file types is using a managed system like Google Gemini's File Search API. It eliminates complex infrastructure by providing automated chunking, embedding, and citation generation for over 100 formats.

Can I use Google Gemini for semantic search across Excel and code files?▼

Yes, you can use Google Gemini for semantic search across Excel and code files. The File Search API supports over 100 file formats, allowing you to extract information and perform document Q&A directly from spreadsheets and source code.

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