AWS's new knowledge-management blueprint shows how brand RAG grounds conversational answers in your real content, and why it reduces, not eliminates, hallucination.
Key takeaways
- On August 24, 2026, AWS published a blueprint for an AI knowledge-management system using Amazon Bedrock Knowledge Bases and RAG, with a voice-first avatar interface.
- The architecture grounds answers in your own content: documents in S3, vectors in OpenSearch Serverless, Titan embeddings, and voice via Amazon Transcribe and Polly.
- AWS is explicit that grounding reduces but does not eliminate hallucination, and recommends keeping a human in the loop for high-consequence answers.
- For customer experience, brand RAG turns static manuals and brand assets into an interactive support hub that answers from a single source of truth.
- Vanaxity's recommendation: build brand RAG on verified content, require citations, keep a human in the loop for high-stakes replies, and never market it as zero-hallucination.
📖 Read the full guide on Van Data Team → Brand RAG: Grounded Customer Experience, Honestly Done
