Structured data tech spec emerging

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# Structured Data Technical Specification
## Overview
This specification describes the integration of TrustGraph with structured data flows, enabling the system to work with data that can be represented as rows in tables or objects in object stores. The integration supports four primary use cases:
1. **Unstructured to Structured Extraction**: Read unstructured data sources, identify and extract object structures, and store them in a tabular format
2. **Structured Data Ingestion**: Load data that is already in structured formats directly into the structured store alongside extracted data
3. **Natural Language Querying**: Convert natural language questions into structured queries to extract matching data from the store
4. **Direct Structured Querying**: Execute structured queries directly against the data store for precise data retrieval
## Goals
[List the primary goals and objectives]
## Background
[Context and motivation for this specification]
## Technical Design
### Architecture
[High-level architecture description]
### Data Models
[Description of data structures and schemas]
### APIs
[API endpoints and interfaces]
### Implementation Details
[Key implementation considerations]
## Security Considerations
[Security requirements and considerations]
## Performance Considerations
[Performance requirements and optimization strategies]
## Testing Strategy
[Testing approach and requirements]
## Migration Plan
[If applicable, migration strategy from existing system]
## Timeline
[Implementation timeline and milestones]
## Open Questions
[Any unresolved questions or decisions to be made]
## References
[Related documents and resources]