Empower your Bedrock agent with GraphRAG

While traditional RAG excels in searching across unstructured documents, it often struggles to grasp intricate relationships between entities. GraphRAG overcomes this limitation by integrating knowledge graphs, enabling your solutions to understand and utilize these complex relationships.

In this session, we’ll explore how to supercharge Bedrock agents with GraphRAG, leveraging Amazon Neptune as the graph database alongside the Bedrock knowledge base. As part of the last re:Invent announcements, we’ll see how this approach delivers precise, contextually rich answers.

The session centers on a use case in the tourism industry, but the techniques presented extend seamlessly across diverse domains such as document processing, healthcare, finance, media, and beyond.