AI & Agentic Software · AI building blocks

Retrieval-Augmented Generation (RAG)

An approach and set of tools that let an AI answer from a business’s own documents by retrieving the relevant passages first, so answers are accurate and cite their sources.

Also searched as: RAG · AI over your documents

What it does

  • Document ingestion and chunking
  • Semantic search
  • Answers with citations
  • Permission-aware retrieval
  • Freshness and re-indexing

Who uses it

Any business putting an AI assistant on its own knowledge: support, legal, HR and product manuals.

Well-known examples

LlamaIndex · Azure AI Search · Amazon Bedrock Knowledge Bases · Vertex AI Search · Custom pipelines

Questions about retrieval-augmented generation (RAG)

What is retrieval-augmented generation (RAG)?

An approach and set of tools that let an AI answer from a business’s own documents by retrieving the relevant passages first, so answers are accurate and cite their sources.

How is AI changing retrieval-augmented generation (RAG)?

RAG is the most common way businesses make AI trustworthy on their own content; the craft is in clean data, good chunking and honest “I don’t know” answers.

Need retrieval-augmented generation (RAG) set up, connected or built?

Tell us what you use today and what you need it to do. We will tell you honestly whether to buy, build or connect, with a fixed quote.

  • Big projects and small ones are all welcome
  • Fixed-price quotes, no surprise invoices
  • You own your code, data and accounts
  • A client portal to track progress, invoices and payments
  • Rooted in Wisconsin, serving businesses nationwide

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