ai-rag-pipeline
✓Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
Installation
SKILL.md
Build RAG (Retrieval Augmented Generation) pipelines via inference.sh CLI.
| Tavily Search | tavily/search-assistant | AI-powered search with answers | | Exa Search | exa/search | Neural search, semantic matching | | Exa Answer | exa/answer | Direct factual answers |
| Tavily Extract | tavily/extract | Clean content from URLs | | Exa Extract | exa/extract | Analyze web content |
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline Source: inference-sh/agent-skills-registry.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/inference-sh/agent-skills-registry --skill ai-rag-pipeline- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-06
- Updated
- 2026-02-18
Quick answers
What is ai-rag-pipeline?
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline Source: inference-sh/agent-skills-registry.
How do I install ai-rag-pipeline?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/inference-sh/agent-skills-registry --skill ai-rag-pipeline Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/inference-sh/agent-skills-registry
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-06