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Knowledge BaseRAG 5 min read

RAG is how you stop your AI from hallucinating on enterprise data

Retrieval-Augmented Generation isn't a buzzword — it's the difference between an assistant that quotes your truth and one that invents it.

By Artificial Wit Team

Illustration of documents flowing into a RAG knowledge base

Ask a vanilla LLM about your renewal terms or your last quarter's numbers and it will guess — confidently. RAG fixes that by retrieving the actual document, then asking the model to answer from it, with a citation.

What a good RAG layer looks like

  • Connectors for the sources that actually matter: SharePoint, Confluence, Drive, S3, databases.
  • Chunking and embeddings tuned for long enterprise documents.
  • Permission-aware retrieval — users only see what they're allowed to.
  • Citations on every answer so reviewers can verify.

Artificial Wit AI ships this as a managed Knowledge Base. Plug in your sources, get a grounded assistant on day one.

Ready to put this into practice?

Talk to us about your stack