Learn to build agentic applications by integrating database-based tools with the Google Gen AI Toolbox and Neo4j knowledge graphs. Discover the concept of agentic architectures, how they differ from traditional retrieval-augmented generation (RAG), and the benefits of using knowledge graphs for better context and execution in AI systems. The post includes practical examples and setups for using the Gen AI Toolbox with various databases, including Neo4j, and showcases an investment research agent managing complex queries and tool calls.

20m read timeFrom medium.com
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Building AI Agents With the Google Gen AI Toolbox and Neo4j Knowledge GraphsIntroductionAgentic ArchitecturesGen AI ToolboxNeo4j Cypher Sources and ToolsInvestment Research AgentCompanies and Articles: Diffbot Dataset

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