Learn Brainy's 9 core functions through interactive examples.
Perfect for newcomers to AI and data management.
π― Strongly Typed Graph System
Brainy provides 23 standardized Noun types and 39 Verb types for building any kind of semantic graph
π Noun Types (Entities)
Person
Organization
Location
Thing
Concept
Event
Document
Media
Product
Service
User
Task
Project
Process
Role
Topic
+ 7 more
π Verb Types (Relationships)
WorksFor
LeadsOrganization
LocatedAt
RelatedTo
Contains
PartOf
References
Causes
Creates
Owns
MemberOf
FriendOf
Follows
Mentors
Uses
Implements
+ 23 more
1
Smart Data Addition
Start by adding some basic information. Brainy automatically analyzes your content and intelligently assigns the most appropriate noun types from its 23 standardized categories. Watch how it detects entities, assigns confidence scores, and extracts metadata.
Code
// 1. Smart addition - Brainy understands your data
await brain.add("John Smith")
await brain.add("Software Engineer")
await brain.add("San Francisco")
await brain.add("Loves hiking and photography")
Results
Click "Run Demo" to see the magic!
Data Added:
2
Typed Entities (Nouns)
Add specific types of entities with metadata. This helps Brainy understand the structure of your data.
Find connections and paths through your data. See how entities are related across multiple steps.
Code
// Find all people connected to Apple Inc.
const connected = await brain.search("Apple Inc.", {
traverseGraph: true,
maxDepth: 2,
relationshipTypes: ["WorksFor", "LeadsOrganization"]
})
Connected Entities
Click "Find Connections" to see graph traversal!
6
Faceted Search & Filtering
Search with specific criteria and filters. Combine semantic understanding with structured queries.