# RAG for Product Support

> Retrieval-Augmented Generation grounded in a single product's record.

Canonical URL: https://www.smartlinks.app/concepts/rag-for-product-support

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Retrieval-Augmented Generation, or RAG, is the pattern of giving an AI model a small, relevant corpus to read at answer time instead of relying on its training data. RAG for Product Support applies that pattern to a Product Record — so every answer is drawn from, and cites, the canonical source for that specific product.

## Why RAG fits product support

Product support questions are narrow and specific: 'how do I reset this exact model?', 'what's the warranty on serial X?', 'is this batch part of the recall?'. The right answer lives in a small, well-scoped set of documents — not in the open web.
RAG retrieves the relevant slices of the Product Record, hands them to the model, and forces the answer to stay grounded in that material.

## What a good support RAG corpus looks like

Chunked manuals and quick-start guides. Structured FAQs with explicit question/answer pairs. Compliance and safety information. Service history and known-issue notes. Up-to-date warranty and registration state.
All of it scoped to the product the customer is actually asking about — never bleeding across SKUs or brands.

## From chatbot to confident assistant

A grounded support assistant can do more than answer trivia: it can register a product, raise a service request, surface the right reseller, and hand off to a human with full context — because every step is anchored in the Product Record.

## Related

- [AI-Ready Product Data](https://www.smartlinks.app/concepts/ai-ready-product-data)
- [MCP-Ready Product Records](https://www.smartlinks.app/concepts/mcp-ready-product-records)
- [Product Support Hub](https://www.smartlinks.app/concepts/product-support-hub)