Every company has the same problem - support agents and employees can't find answers buried in internal docs. Here's a simple, production-ready RAG pipeline on Bedrock Knowledge Base, built to swap embedding and generation models with a one-line tfvars change.
Almost every company hits this same wall: product docs, FAQs, and policy PDFs pile up in a shared drive, support agents can't find the right answer fast enough, and employees ping the same Slack channel with the same questions every week. This is the single most common RAG use case in the industry - internal knowledge Q&A.
This post builds that exact pipeline: documents in S3, a Bedrock Knowledge Base for retrieval, and an assistant that answers questions grounded in your docs with citations. The entire thing is Terraform, and every model reference is a variable - upgrading your embedding model or swapping your generation model is a tfvars change, not a rewrite. 🎯
Docs (PDF/HTML/TXT) → S3 bucket
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