ai-rag-pipeline

Installation

Summary

Build RAG pipelines combining web search and LLMs for grounded, sourced AI responses.

Integrates multiple search tools (Tavily, Exa) and LLM providers (Claude, GPT-4, Gemini via OpenRouter) via the inference.sh CLI
Supports three core patterns: simple search-plus-answer, multi-source research aggregation, and URL content extraction with analysis
Includes ready-to-use examples for fact-checking, research reports, and iterative deep-dive queries with built-in source attribution
Best practices cover query optimization, context management for long results, and iterative research workflows to refine findings

SKILL.md

Install the belt CLI skill: npx skills add belt-sh/cli

AI RAG Pipeline

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

AI RAG Pipeline

Requires inference.sh CLI (belt). Install instructions

belt login

Related skills

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Repository

GitHub Stars

500

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ai-rag-pipeline — inferen-sh/skills