Build an Agentic GraphRAG System in 1 Hour (MCP + Knowledge Graph) | Databases for AI

🕵️ Your AI agent shouldn't need a decision tree to decide how to investigate. The answers to complex questions often don’t live in a single data source. They span across multiple locations, domains, and vary in structure – tabular, connected, and unstructured, just to name a few. Agentic GraphRAG gives your agent a toolkit and lets it choose which source(s) would be best: 🔹 A Neptune MCP server for open-ended knowledge graph exploration 🔹 Custom domain tools for defined, repeatable, and high-confidence subgraph extraction 🔹 Auto-generated domain tools to query over unstructured documents We demo a fraud detection use case with #AmazonNeptune & #AmazonBedrock, but the architecture works for any domain where your #agenticAI needs to follow leads across structured & unstructured data. Stop orchestrating & start letting your agent investigate.