Dimensional Directory Technology
A unified, geometric framework for efficient data processing and management.
System Overview
The Dimensional Directory (DD) introduces a new way of managing information by representing data as coordinates within an addressable space. This approach combines three main components to deliver a coherent and traceable data management system.
Core Principles
- •Data as spatial coordinates
- •Unified addressing across scales
- •Exact deduplication with referential integrity
- •Geometric modeling of relationships
Technology Components
- •Text indexing and chunking
- •UUID-based storage with zero-indexed addressing
- •Vector embedding framework
- •Hierarchical relationship management
Component Breakdown
The Dimensional Directory leverages three tightly integrated components. Each contributes a distinct role in data processing and management:
Text Embedding System
Processes raw data by breaking text into sentences, indexing them with context, and creating vector embeddings.
- •Sentence-level chunking
- •Context-aware indexing
- •Vector embedding generation
Core Dimensional Directory
Serves as the system's backbone by mapping unique IDs to data chunks and maintaining structural integrity.
- •UUID-based deduplication
- •Table-based indexing
- •Zero-indexed addressing
Applied Dimensional Directory
Implements practical applications based on the underlying framework for tasks like semantic search and content management.
- •Knowledge management systems
- •Semantic search
- •Content generation tools
System Integration
These three components work together to form a consistent and traceable data processing pipeline. The Text Embedding System transforms raw inputs into indexed, vectorized data. The Core Dimensional Directory ensures that each data element is uniquely identified and stored, while the Applied Dimensional Directory leverages this foundation to power higher-level applications.
The design enables independent operation of each component while ensuring that their interactions are consistent and easily traceable.
Technical Foundations
System Architecture
Key technical components include:
- •HDF5 for raw data and embedding storage
- •SQLite for metadata and relationship mapping
- •UUID management for deduplication
- •Zero-indexed addressing for clear navigation
Theoretical Underpinnings
The DD framework is a direct implimentation of C-Space, treating data as spatial entities:
- •Data mapped to addressable coordinates
- •Hierarchical relationships as navigation paths
- •Vector embeddings representing semantic position
- •Deduplication via unique spatial identifiers