| Use case | What you build | Core flow |
|---|---|---|
| AI Support Agent | A bot that answers from your help docs | scrape + parse → chat (guardrails) |
| Documentation Assistant | ”Chat with the docs” | crawl docs → chat |
| Internal Knowledge Base | Private Q&A over company files | parse files → retrieve / chat |
| AI Search Engine | Semantic search over a corpus | ingest → retrieve + rerank |
| Research Assistant | Synthesis across long documents | parse papers → chat |
| Developer / API Copilot | Docs Q&A that can act | fetch docs → agentic chat |
| Competitive Intelligence | Track and query competitors | crawl + refresh → query |
| Grounded Content Generation | Content backed by sources | retrieve → generate |
| E-commerce Assistant | Natural-language product search | fetch catalog → retrieve / chat |
Use Cases
Use Cases
What you can build with Ragrails, and how.
Ragrails turns your content into a knowledge base you can search and chat over. Here’s what teams build with it. Each maps to features Ragrails ships today.
New to the pipeline? Start with How RAG works.