skills.rest
TW-NLP
TW-NLPCOMMUNITY
Explore all skills by this author →
GitHub

rag-query

Query internal knowledge bases via RAG API using Python scripts.

91|11|Updated Jan 15, 2026
Search Tags:#knowledge base#RAG#Python#internal search#corporate information
One-click install
npx skills add https://github.com/TW-NLP/DeepAgentForce --skill rag-query-tw-nlp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rag-query
Source: https://github.com/TW-NLP/DeepAgentForce/tree/main/src/services/skills/research/rag-query
Command: npx skills add https://github.com/TW-NLP/DeepAgentForce --skill rag-query-tw-nlp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires httpx, and includes scripts (resource) components.

What problem does it solve?

This Skill enables users to query the company's private knowledge base via RAG, providing accurate, tenant-scoped answers on internal topics.

Core Features & Use Cases

  • Internal Knowledge Query: Query the company's private knowledge graph and document repository for accurate, tenant-scoped answers.
  • Applicable Topics: HR & admin, projects, organization.
  • Use Case: For example, a user can ask about company policies, HR regulations, reimbursement rules, internal project specs, attendance systems, organizational procedures, or any proprietary enterprise knowledge.

Quick Start

Query the company's internal knowledge base for information about the attendance system using the 'rag-query' skill.

Frequently Asked Questions about rag-query

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

FAQPage Schema
How do I query an internal corporate knowledge base for HR policies?▼

To query an internal corporate knowledge base for HR policies, you use a RAG system that retrieves tenant-scoped answers from private document repositories regarding HR regulations, reimbursement rules, and attendance systems.

What is a RAG system for internal corporate information retrieval?▼

A RAG system for internal corporate information retrieval queries a private knowledge graph and document repository to provide accurate, tenant-scoped answers on proprietary enterprise topics like organization procedures and project specs.

Can I use Python scripts to search company project specs via a RAG API?▼

Yes, you can use Python scripts to search company project specs via a RAG API, executing queries against the internal knowledge base to retrieve accurate details on internal projects and organizational procedures.

Do I need API access to retrieve internal documents from a corporate knowledge base?▼

Yes, you need RAG API access and a Python environment to retrieve internal documents from a corporate knowledge base, allowing scripts to fetch accurate, tenant-scoped information on topics like admin rules and project specs.

What are the limitations of using RAG for private knowledge base queries?▼

The limitations of using RAG for private knowledge base queries include dependency on RAG API access and a Python environment, with retrieval constrained to tenant-scoped corporate information like HR policies, projects, and organizational procedures.

Related Skills

Explore More Software Engineering Skills→
figulazmifigulazmi

token-monitor-setup

Install and configure the Token Monitor SessionEnd hook for Claude Code.

Community
Intermediate
LauraFlorentinLauraFlorentin
1

rag

Retrieves relevant documents from a knowledge base to ground responses.

Community
Advanced
vecearvecear

embedding-pipeline-builder

Build document embedding and retrieval pipelines for scalable semantic search.

Community
Advanced
ccfccf

hybrid-search-implementation

Combine vector similarity with keyword matching for hybrid retrieval.

Community
Intermediate