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What is Retrieval-Augmented Generation (RAG)?

RAG is a technique that gives an LLM access to a specific, trusted knowledge base (like your company FAQs) to prevent hallucinations and ensure factual accuracy.

How Orbt9 Solves This

Orbt9 uses RAG to ensure your AI agent never makes up pricing or company facts, sticking strictly to your uploaded PDF or website data.

Key Features

  • Sub-second processing
  • Enterprise-grade reliability
  • Native global routing

Related Concepts

knowledge groundingvector databasefactual AIanti-hallucinationdocument retrieval

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