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ai-search-rag

Configure AI Search with RAG for source-grounded responses.

34|13|Updated Feb 6, 2026
Search Tags:#indexing#rag#retrieval-augmented-generation#ai-search#service-now#knowledge-sources
One-click install
npx skills add https://github.com/Happy-Technologies-LLC/happy-servicenow-skills --skill ai-search-rag
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-search-rag
Source: https://github.com/Happy-Technologies-LLC/happy-servicenow-skills/tree/main/skills/genai/ai-search-rag
Command: npx skills add https://github.com/Happy-Technologies-LLC/happy-servicenow-skills --skill ai-search-rag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enabling AI-powered search with RAG to ground responses in enterprise content and reduce hallucinations.

Core Features & Use Cases

  • Define and configure search sources (knowledge bases, catalogs, and content) for RAG.
  • Create search profiles, ranking rules, and field weighting to optimize results.
  • Enable RAG-based answer generation with citations and knowledge indexing for reliable responses.

Quick Start

Configure AI Search with RAG by creating sources, profiles, and a RAG configuration for your knowledge content.

Frequently Asked Questions about ai-search-rag

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

FAQPage Schema
How do I configure AI Search with RAG to ground responses in enterprise content?▼

Configure AI Search with RAG by creating knowledge sources, search profiles, and a RAG configuration to generate accurate, source-grounded responses with citations across your enterprise content.

What's the best way to reduce AI hallucinations in enterprise search results?▼

Reduce AI hallucinations by enabling RAG-based answer generation with knowledge indexing and citations, grounding conversational agent responses in your configured enterprise knowledge bases and content sources.

How do I optimize search ranking and field weighting for AI Search?▼

Optimize AI Search ranking by creating search profiles, defining ranking rules, and tuning field boosts to prioritize specific knowledge source attributes and deliver precise search results.

Can I integrate RAG answer generation with conversational agents in ServiceNow?▼

Yes, RAG answer generation integrates with conversational agents by configuring knowledge sources, indexing content, and setting up search profiles to deliver reliable, cited responses across enterprise content.

What knowledge sources can I use for Retrieval Augmented Generation?▼

RAG supports defining and configuring knowledge bases, catalogs, and content as search sources to generate reliable, source-grounded responses with accurate citations for enterprise queries.

Does AI Search with RAG require indexing content before generating answers?▼

Yes, indexing content is required. Configure knowledge sources and search profiles first, then index the content to enable RAG answer generation with citations and monitor ongoing search performance.

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