NVIDIA-AI-Blueprints / 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 cart management.
Why this job: topics: rag, embeddings
What it does
- Natural-language product search. the agent plans the query, the catalog retrieves deterministically
- Photo and video understanding. Nemotron 3.5 Super VL reads uploads in shopping context
- Deterministic cart. typed tools, with totals computed in code rather than generated
- Skills with enforced tool grants. each skill declares its tools, and the grant is rechecked at dispatch
- Durable conversation turns. a turn's outcome and the products it showed survive a restart
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 days ago
- Stars
- 108
- +3 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.0
- Released 6 days ago
- Built with
- Python
- 89% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 33% closed
- 2 still open
- Pull requests
- 260 merged
- 7 waiting
- Releases
- 2
- 1 in the last year
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More: languages, topics and project record
Languages
- Python 89%
- Jupyter Notebook 5%
- TypeScript 4%
- CSS 1%
Topics
- agentic-ai
- agents
- embeddings
- genai
- llm
- rag
Project record
- JobRAG and search
- StatusListed
- Commits488
- Forks46
- Watching1
- Stars in 28 days+6
- CreatedJul 2, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026