O que é busca em grafos?
Em termos técnicos, A search method that retrieves information by matching and traversing nodes, relationships, properties, paths, and structural patterns in a graph.
Por que isso é importante?
Isso é importante porque Graph search preserves explicit relationships that flat documents or vectors can obscure. It is useful for identity resolution, permissions, recommendations, fraud analysis, dependency tracing, customer context, and multi-hop reasoning.
Como funciona
O sistema funciona assim: A query identifies starting nodes and relationship patterns, applies property constraints, traverses eligible paths, and returns connected entities or aggregates. Systems can combine graph traversal with vector similarity.
Exemplo técnico
Exemplo: A company-brain query finds a customer, their company, open deals, recent conversations, assigned owner, unresolved issues, and related product usage through typed relationships.
Notas de implementação
Notas técnicas: Define a stable ontology, control traversal depth, index entry properties, prevent path explosion, enforce permissions at retrieval time, preserve provenance, and use vector search only where semantic similarity adds value.
