Built a retrieval-augmented chatbot on AWS Bedrock so employees could ask plain-language questions about internal company policy instead of searching through documents.
Employees had to dig through scattered internal policy documents to answer basic questions, which meant repeated interruptions to HR/ops and slow answers to simple questions.
FAQ
RAG grounds an AI model's answers in your own documents instead of its general training data, so responses to policy questions are accurate and sourced from the company's actual internal documentation rather than generic knowledge.
No — it removes repetitive, easily-answered questions from their queue so they can focus on things that genuinely need a person, not the ones a document already answers.
Yes. The same RAG pattern on Bedrock works for any internal knowledge base — engineering runbooks, compliance documentation, or support macros — as long as the source documents exist and are kept current.
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