Knowledge Base

Amazon Bedrock Knowledge Bases is a fully managed Retrieval-Augmented Generation (RAG) feature that connects foundation models to private data in sources like Amazon S3. It automates the whole pipeline: ingesting documents, splitting them into chunks, generating vector embeddings, storing them in a managed vector store, and retrieving relevant passages at query time to pass as context to the FM. The key exam distinction is Knowledge Bases versus Bedrock Agents: Knowledge Bases handle passive retrieval from documents, while Agents orchestrate multi-step actions by calling APIs and tools. Confusing retrieval with orchestration is a common AIF-C01 trap.