# Ai Rag Pipeline

> Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs.

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

- Page: https://ss33.ai/skills/inference-sh/ai-rag-pipeline-35743245348
- Publisher: inference-sh
- Category: [Data & Analytics](https://ss33.ai/skills/category/data-and-analytics-m1r3i9) › [Machine learning & training](https://ss33.ai/skills/category/data-and-analytics-m1r3i9/machine-learning-and-training-d194fk)
- Source: https://github.com/inference-sh/skills/blob/0cbf91c26ada28702c79962406286f0c14292150/tools/llm/ai-rag-pipeline/SKILL.md

## Skill

This skill's licence does not allow redistribution, so the store does not serve its text. Get it from the author: https://github.com/inference-sh/skills/blob/0cbf91c26ada28702c79962406286f0c14292150/tools/llm/ai-rag-pipeline/SKILL.md