·ai-rag-pipeline
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ai-rag-pipeline

1nfsh/sGitHub: 1nfsh/sSource: 1nfsh/s

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

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Installation

GitHub: 1nfsh/s
$npx skills add https://github.com/1nfsh/s --skill ai-rag-pipeline

How to Install ai-rag-pipeline

Quickly install ai-rag-pipeline AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/1nfsh/s --skill ai-rag-pipeline
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: 1nfsh/s.

SKILL.md

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Build RAG (Retrieval Augmented Generation) pipelines via inference.sh CLI.

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

| 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 |

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: 1nfsh/s.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/1nfsh/s --skill ai-rag-pipeline
Source
1nfsh/s
Category
</>Dev Tools
Verified
—
First Seen
2026-02-20
Updated
2026-03-10
URL
https://www.learn-skills.dev/en/skills/1nfsh/s/ai-rag-pipeline

Browse more skills from 1nfsh/s

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: 1nfsh/s.

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/1nfsh/s --skill ai-rag-pipeline Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/1nfsh/s

Details

Category
</>Dev Tools
Source
user
First Seen
2026-02-20

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