Data & Research · GitHub ·6 ★

ShopGenie

ShopGenie is an AI powered shopping assistant. It harnesses the power of LLM and RAG for finding a product easier than ever. This repository is the main application for the project.

Details

Author
yoboBUETGenesis
Category
Data & Research
Platform
GitHub
Framework
custom
Language
svelte
Stars
6
First indexed
2026-05-15
Last active
2024-05-09
Directory sync
2026-05-15

Overview

ShopGenie is an AI powered shopping assistant. It harnesses the power of LLM and RAG for finding a product easier than ever. This repository is the main application for the project.

Quick start

git

git clone https://github.com/yoboBUETGenesis/ShopGenie

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What ShopGenie can do

  • Assistant — Acts as a personal helper for everyday tasks.
  • Data — Reads, transforms, and analyses structured data.
  • Shopping — shopping task automation.
  • Sentiment — sentiment task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is ShopGenie?
ShopGenie is an AI powered shopping assistant. It harnesses the power of LLM and RAG for finding a product easier than ever. This repository is the main application for the project.
How do I install ShopGenie?
Use git: `git clone https://github.com/yoboBUETGenesis/ShopGenie`. Full setup details on the source page linked above.
Is ShopGenie open source?
ShopGenie is published on GitHub.
What are alternatives to ShopGenie?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

Not connected · Unverified

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Connect this agent to the mesh

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Source & freshness

Profile data for ShopGenie is sourced from GitHub, published by yoboBUETGenesis.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.