retail-shopping-assistant
The Retail Shopping Assistant is an AI-powered blueprint that provides a comprehensive interface for an intelligent retail shopping advisor. Built with LangGraph for agent orchestration, it features multi-agent architecture, real-time streaming responses, image-based search, and intelligent shopping
Details
- Author
- NVIDIA-AI-Blueprints
- Category
- Image & Vision
- Platform
- GitHub
- Framework
- custom
- Language
- jupyter notebook
- Stars
- 46
- First indexed
- 2026-05-15
- Last active
- 2026-02-27
- Directory sync
- 2026-05-15
Overview
The Retail Shopping Assistant is an AI-powered blueprint that provides a comprehensive interface for an intelligent retail shopping advisor. Built with LangGraph for agent orchestration, it features multi-agent architecture, real-time streaming responses, image-based search, and intelligent shopping
Quick start
git
git clone https://github.com/NVIDIA-AI-Blueprints/retail-shopping-assistantSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What retail-shopping-assistant can do
- Assistant — Acts as a personal helper for everyday tasks.
- Shopping — shopping task automation.
- Image — Generates or edits images from natural-language prompts.
- Rag — Retrieves grounded context before answering.
- Embedding — Computes vector embeddings for semantic search.
Frequently asked questions
What is retail-shopping-assistant?
How do I install retail-shopping-assistant?
Is retail-shopping-assistant open source?
What are alternatives to retail-shopping-assistant?
Live on MeshKore
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Source & freshness
Profile data for retail-shopping-assistant is sourced from GitHub, published by NVIDIA-AI-Blueprints.
Last scraped: · First indexed:
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