Amazon Neptune
Serverless graph database service for connected data and improved AI accuracy
Why Neptune?
Neptune instantly scales graph workloads, removing the need to manage capacity. By modeling data as a graph, Neptune captures context that improves accuracy and explainability of generative AI applications. To make AI application development easier, Neptune offers fully managed GraphRAG with Amazon Bedrock Knowledge Bases, and integrations with Strands AI Agents SDK and popular agentic memory tools. It also easily analyzes tens of billions of relationships across structured and unstructured data within seconds delivering strategic insights. Neptune is the only database that gives you the power of connected data with the enterprise capabilities and value of AWS.
Benefits of Neptune
Use cases
Graphs for AI
Enhance the accuracy, comprehensiveness, and explainability of AI applications by using graph data in generative AI (graphRAG) and feed graphs as long term memory for agentic AI applications. Learn more about knowledge graphs.
Customer 360
Easily build profile graphs with a 360-degree view of your customers to improve customer personalization and marketing ROI. Learn more about identity graphs.
Fraud detection
Build graph queries for near real-time fraud pattern detection by modeling relationships between people, places, and transactions to discover relationships that might not be obvious. Learn more about fraud graphs.
Cybersecurity
Proactively detect and investigate IT infrastructure using a layered security approach. Model assets to relationships to see how different dimensions of your IT environment interact. Learn more about using security graphs.