Turn content into vectors.
FyBrain converts every document into high-dimensional vector embeddings that capture semantic meaning. Enable similarity search, clustering, and AI-powered discovery.
What You Can Do With Embeddings
Vector embeddings unlock powerful capabilities for understanding and organizing your content.
Semantic Search
Find documents by meaning, not keywords. Query in natural language and get relevant results.
Document Clustering
Automatically group similar documents. Discover patterns in your content library.
Duplicate Detection
Find near-duplicates and similar versions. Clean up redundant content.
Recommendation
Suggest related documents based on what users are viewing or working on.
How Embeddings Work
FyBrain processes your documents through a sophisticated pipeline to generate high-quality vector representations.
Technical Specifications
Always Up-to-Date
Embeddings are automatically regenerated when documents change.
Auto-Refresh
Embeddings update when documents are modified
Version History
Previous embeddings stored for comparison
Quality Assurance
Automatic validation of embedding quality
Discover Document Relationships
See how your documents relate to each other. Find similar content you didn't know existed.
Cross-Module Intelligence
Embeddings connect content across all Fyboard modules. A contract in AlphaCore can surface related invoices in DataBoard or supporting documents in FyDrive.
Developer-Friendly API
Access embedding capabilities programmatically. Build custom integrations and workflows.
RESTful API
Standard HTTP endpoints for all operations
Real-time Webhooks
Get notified when embeddings are ready
Batch Operations
Process thousands of documents efficiently
Power your search with embeddings
Vector embeddings are generated automatically for all your files in FyBrain.