Use Cases

Ragrails is strongest when your product needs a real knowledge workflow: ingest source material, keep it searchable, retrieve with quality controls, and answer with grounded context. These are the core samples worth reading first.

Use case	What you build	Why it is a good Ragrails fit
AI Support Agent	A support bot that answers from help docs and policies	Shows grounded chat, query rewriting, confidence controls, and refusal behavior.
Documentation Assistant	”Chat with the docs” for a product or SDK	Shows full-site crawling, streaming, citations, and maintenance.
Internal Knowledge Base	Private Q&A over company files	Shows mixed document parsing, private vector storage, and source-backed answers.
AI Search Engine	Semantic search without answer generation	Shows retrieval-only workflows, reranking, and no LLM generation cost.
Developer / API Copilot	API docs Q&A plus interactive tool calls	Shows API ingestion, chat, and agentic CLI tools.

New to the pipeline? Start with Pipeline Overview. Want the advantages behind these samples? Start with Capabilities.

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Features

Capabilities

Walkthroughs

Use Cases