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ai-rag-pipeline

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Build RAG pipelines with web search.

Software Engineering#knowledge retrieval#research#llm#rag#web search#ai agent
AuthorRomainGRAS42
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the creation of Retrieval Augmented Generation (RAG) pipelines, enabling AI to access and synthesize information from the web for more accurate and grounded responses.

Core Features & Use Cases

  • Web Search Integration: Leverages tools like Tavily and Exa for up-to-date information retrieval.
  • LLM Integration: Connects with various LLMs (Claude, GPT-4, Gemini) for response generation.
  • Use Case: An AI research assistant that can answer complex questions by first searching the web, then using the retrieved information to formulate a detailed, sourced answer.

Quick Start

Use the ai-rag-pipeline skill to research the latest AI developments from 2024 and summarize the key trends.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-rag-pipeline
Download link: https://github.com/RomainGRAS42/Procedio-AI/archive/main.zip#ai-rag-pipeline

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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