Every Game Is Connected — I Built the Graph That Proves It

说明与用途

该系统利用 FalkorDB 和 AI 叙述揭示视频游戏之间的隐藏连接，提供透明、可验证的解释。

问题

Recommendation engines can tell you what games are similar but not why two games are connected across studios, decades, and genres.

结果

The system delivers quick (≈2 s) path discovery between arbitrary games, revealing five types of connections and providing verifiable AI narration. It demonstrates how to build a transparent, AI‑augmented graph reasoner for game data.

工作流

• 1. User selects 2–4 games in the UI.
• 2. The app queries FalkorDB for paths between the selected games.
• 3. The reasoner suppresses hub nodes and overly common genres to avoid meaningless connections.
• 4. The shortestPath Cypher query retrieves nodes along the path.
• 5. IBM watsonx (Granite) generates a narrative from the path data, citing path IDs.
• 6. The UI highlights the path when a claim or node is clicked.
• 7. Users can explore random game sets via a slot‑machine feature.

证据

pick any 2–4 games, and it traverses a FalkorDB graph of 50,217 games, 84,296 nodes, and 1,023,292 relationships to find the hidden paths between them

来源

The narration is IBM watsonx (Granite), and it has exactly one job: explain paths the graph already found

来源

FalkorDB runs in Docker on a single IBM VPC virtual server (bx2-4x16, us-south). The app is a single-file Python 3.12 program using only the standard library

来源