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BulloRosso
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rag-search

Index and semantically search documents in the my-documents folder with citations.

32|3|Updated Sep 30, 2025
Search Tags:#citations#semantic-search#knowledge-base#vector-store#document-indexing#rag-search
One-click install
npx skills add https://github.com/BulloRosso/etienne --skill rag-search-bullorosso
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rag-search
Source: https://github.com/BulloRosso/etienne/tree/main/skill-repository/standard/optional/rag-search
Command: npx skills add https://github.com/BulloRosso/etienne --skill rag-search-bullorosso

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams centralize scattered documents into a fast, searchable knowledge base by indexing and enabling semantic search over the content in the my-documents folder.

Core Features & Use Cases

  • Automatic indexing of new, modified, and deleted documents in the my-documents folder, ensuring the knowledge base stays up to date.
  • Semantic search with citations to source documents, allowing precise retrieval across PDFs, Word, Excel, and text files.
  • Automatic initialization on first message and an end-to-end workflow that minimizes manual setup for teams.
  • Use case: A team stores project documents in my-documents and then asks questions in chat to reference relevant files with citations.

Quick Start

Drop files into the my-documents folder and ask a question mentioning my documents or knowledge base to trigger automatic indexing and searchable results.

Frequently Asked Questions about rag-search

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

FAQPage Schema
How do I set up semantic search over my project documents?▼

Semantic search is enabled by dropping files into the my-documents folder and asking a question in chat. The system automatically indexes the content and returns answers with citations to the source files.

Can I search across different file formats like PDF and Word?▼

Yes, semantic search supports PDFs, Word, Excel, and text files. The system automatically indexes these documents on creation, modification, and deletion to enable precise retrieval with citations.

Do I need a vector-store service to index my documents?▼

Yes, a running vector-store service is required. The skill also requires access to the kg_learn_document and kg_search_document MCP tools to index and query the knowledge base.

What is the best way to keep a document knowledge base up to date?▼

Automatic indexing keeps the knowledge base current. The system monitors the my-documents folder and automatically updates the index whenever files are created, modified, or deleted.

How do I get citations for answers retrieved from my knowledge base?▼

Citations are provided automatically during semantic search. When you query the knowledge base in chat, the system retrieves relevant information and includes citations to the specific source files.

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