ShowcaseRAG & Retrieval
Private RAG Product Recommender
VisionsCraft built a private RAG product recommender that ranks catalog items from the client's own product knowledge plus live session behavior—so shoppers see relevant products instead of generic bestsellers, with explanations merchandising teams can trust.
The problem
Catalog-heavy ecommerce stores often rely on static rules or popular bestsellers. That misses intent, wastes inventory discovery, and gives merchandisers no explanation for why an item surfaced.
The solution
A retrieval-augmented ranking pipeline over a private product corpus, fused with session signals, delivered into the storefront recommendation workflow with operator-visible rationale.
A production recommendation system for catalog-heavy commerce. We combined retrieval over product knowledge with live user-behavior signals so shoppers see relevant items instead of generic bestsellers. Ranking is explainable enough for merchandising teams to trust, and the retrieval layer stays private to the client's catalog.
Implementation
Built a RAG ranking pipeline, wired session-level behavior into retrieval, and shipped personalized product ranking into the storefront workflow with private vector indexes—no shared public catalog data.
Tech stack
- LangChain
- LangGraph
- OpenAI
- Vector Search
- Python
Results
- Higher product discovery relevance versus static rules
- Merchandising insight into why items surface
- Private retrieval over the client's own catalog
FAQ
What is a private RAG product recommender?
It is a recommendation system that retrieves only from a client's private product knowledge base, then ranks results with live user signals—keeping catalog data private while improving relevance.
How is this different from collaborative filtering?
Collaborative filtering leans on aggregate user–item history. Private RAG grounds ranking in product documents and policies the merchant owns, then blends behavior signals for personalization.
Can VisionsCraft integrate this into an existing storefront?
Yes. VisionsCraft typically exposes ranking via API into the storefront or merchandising tools and tunes retrieval for the client's catalog schema.