Knowledge Graph & Semantic Search
Traverse deep data relationships. Build next-gen GraphRAG applications.
GRAPH BROWSER
Active • 1.2M nodes
psychology
Query Intent
dataset
Entity: Product
person
Entity: Customer
description
Doc Fragment
BFS Depth
3 hops
Traversal Time
12ms
Confidence
98.2%
Vector Match
Direct Link
hub
Graph Traversal Query
Talon graph engine uses a property graph model with BFS and shortest path algorithms. In/out edge indexes enable O(1) neighbor lookup via JSON API.
travel_explore
Semantic Parsing
Combine Vector Search with graph traversal to locate related entities for deep GraphRAG context.
query.js
const results = await db.graph()
.find({ vector: queryEmbedding })
.bfs({
maxDepth: 3,
edgeFilter: (e) => e.weight > 0.8
})
.map(node => node.properties);Nodes/Edges/Props
Property Graph
Traversal Algorithms
BFS / Shortest Path
Fast Neighbor Query
In/Out Edge Index
Query Interface
JSON API