Building GraphRAG Solutions Using Amazon Bedrock Knowledge Bases and Amazon Neptune Analytics
Learn how to build Graph RAG solutions using Amazon Bedrock Knowledge Bases and Neptune Analytics.
Lydia Ray
Amazon Employee
Published Mar 19, 2025
In this show, we explore the intersection of graph databases and Retrieval Augmented Generation (RAG). The discussion covers how GraphRAG differs from traditional RAG solutions by combining semantic search capabilities with graph relationships, enabling more contextual and connected responses. Kevin demonstrates two main approaches to implementing GraphRAG on AWS: using Amazon Bedrock Knowledge Bases for a fully managed solution, and the GraphRAG Toolkit for more customized implementations. Through practical demos using Neptune documentation as a dataset, he shows how both solutions can extract entities, create knowledge graphs, and enable natural language querying. The session highlights how GraphRAG can be particularly valuable in regulatory compliance, financial services, and document management use cases where understanding relationships between different pieces of information is crucial.
Key Highlights:
- Introduction to GraphRAG and how it enhances traditional RAG by incorporating graph relationships
- Live demonstration of creating knowledge graphs from Neptune documentation using both solutions
- Overview of Neptune Analytics capabilities including vector storage and graph visualization
- Practical considerations for choosing between managed (Bedrock) vs. custom (Toolkit) implementations
Hosts of the show 🎤
Lydia Ray - Sr Analytics Solutions Architect @ AWS
Guest 🎤
Kevin Philips - Sr Amazon Neptune Solution Architect @ AWS
Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.