Context Graphs – meetup and demo
Chapters 5
- Play from Defining Context Graphs: An explanation of context as situational metadata and its essential link to knowledge management for making organizational information meaningful.1
- Play from The "Why" in Financial Services: A look at how context graphs address credit approval concerns by providing the reasoning, precedents, and "why" behind decisions.2
- Play from AI Agent Demo: A demonstration of an AI agent assisting a financial analyst by using graph tools to gather customer data, policies, and previous decision traces to make grounded recommendations.3
- Play from Constructing the Graph with Agent Memory: An overview of how to build these graphs using short-term, long-term, and reasoning memory via the Neo4j agent memory package.4
- Play from Getting Started: Information on how to access the project code and the Neo4j agent memory package on GitHub.5
Context is what you need to build accurate AI applications. Graphs can give you that.
Learn how.
https://neo4j.com/blog/developer/meet-lennys-memory-building-context-graphs-for-ai-agents/
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