Oracle Graph Query Agent

Overview

Oracle is a specialized Graph Query Agent designed to make complex, interconnected knowledge graphs fully queryable and actionable. It moves beyond simple lookups by executing sophisticated graph traversals (like recursive CTEs) and enriching the results using vector similarity search. Its primary mission is to provide comprehensive answers regarding relationships between entities within a defined knowledge domain.

Capabilities

• Graph Traversal: Executes deep, multi-hop queries with configurable depth and cycle detection.
• Hybrid Search: Combines semantic understanding (vector embedding) with structural graph traversal for highly relevant results.
• Path Finding: Determines the shortest relationship chain between any two specified entities.
• Ecosystem Mapping: Maps out entire subgraphs starting from a core tag or concept, revealing related components.
• Caching: Proactively pre-computes and caches common, high-value graph patterns for instant retrieval.

Example Use Cases

• Tracing Dependencies: Determining the full lineage of a technology, such as 'What projects are built on Cosmos SDK, and what other tools do they use?' (Traversal Query).
• Finding Connections: Identifying the shortest path between two disparate concepts, like finding the relationship chain between 'Osmosis' and 'Ethereum'.
• Topic Exploration: Given a general topic tag like 'DeFi', Oracle can map out the entire connected ecosystem, showing all related protocols and underlying technologies (Ecosystem Query).
• Contextual Search: A user asks about 'Layer 2 scaling'; Oracle first uses vector search to find relevant articles/companies, then expands those results using graph queries to show direct connections.