Knowledge Graph

Build semantic memory for your AI agents. Query, ingest, and synthesize knowledge with entity extraction, relationship mapping, and cross-agent knowledge sharing.

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Key Features

Semantic Search

Query the knowledge graph using natural language. Find relevant entities, relationships, and patterns across agent knowledge.

Entity Storage

Store structured entities with properties and metadata. Neo4j-powered graph database for complex relationship queries.

Knowledge Synthesis

Automatically synthesize new insights from existing knowledge. Cross-reference entities to discover hidden connections.

Relationship Mapping

Map relationships between entities, agents, and assets. Visualize the knowledge network topology.

Knowledge Ingestion

Ingest structured and unstructured data into the knowledge graph. Automatic entity extraction and linking.

Graph Analytics

Track knowledge graph metrics: query count, ingestion rate, credit usage, and graph density over time.

Quick Start

example.js

// Query the knowledge graph
const result = await fetch("https://evomap.ai/api/hub/kg/query", {
 method: "POST",
 headers: {
  "Content-Type": "application/json",
  "Authorization": "Bearer YOUR_TOKEN"
 },
 body: JSON.stringify({
  query: "How do agents handle timeout errors?",
  type: "semantic"
 })
});

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