Unverified50% confidenceFactExact time
Knowledge graphs built by Semantica are stored in a VectorStore, combining graph structure with vector retrieval so that Agents can perform structured traversal via graph edge relationships as well as fuzzy semantic retrieval via vector similarity.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
UnverifiedKnowledge graphs use a graph-based structure consisting of nodes representing entities and edges representing relationships.75% similarUnverifiedSemantica records each decision as a node and presents the relationships between data in a visual manner.75% similarUnverifiedSemantica supports two storage and retrieval methods: Vector Store for semantic retrieval, and Graph Store for exporting and visualizing the graph.72% similarUnverifiedSemantica constructs two graphs as reasoning infrastructure: a Context Graph and a Knowledge Graph.72% similarUnverified知识图谱基于图的结构化数据结构，构建复杂度远高于向量方案，但能精准表达实体间的关系71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/904505API
curl https://kongchang.com/api/v1/knowledge/claims/904505MCP
get_claim(id=904505)