What is Graph Prompting?

Graph Prompting is one of the well-known prompting techniques used to interact with artificial intelligence models.

• Prompt Type: Advanced Structuring
• Definition: The AI uses a graph to map relationships between items and answer questions about their connections.
• Typical Use Case: Analyzing networks, such as social, organizational, or data relationships.
• Advantages: Effective for complex relational data; provides structured insights.
• Disadvantages: Requires a pre-defined graph; may be complex for non-experts to set up.
• Implementation Tips: Clearly define the graph’s structure (e.g., nodes and edges) to help the AI navigate relationships accurately.
• Skill Level Required: Advanced – Requires understanding of graph structures and how to represent relationships in prompts.

Examples:

1. “Using a graph of a company’s teams, find which employees work on both Project X and Project Y.”
2. “Using a social network graph, identify mutual connections between two users.”
3. “Using a graph of product categories, find items sold in both electronics and home appliances.”