KnowledgeRefinery/shared/models/data_model.md

# Canonical Data Model

See [../../docs/data-model.md](../../docs/data-model.md) for the full data model documentation.

## Pipeline Version Tracking

Every derived artifact stores:
- `pipeline_version` - Overall pipeline version (e.g., "v1.0")
- `model_id` - LM Studio model used (for annotations/concepts)
- `prompt_id` + `prompt_version` - Prompt template version (for annotations)

This enables:
- Re-running with updated models/prompts without losing previous results
- A/B comparison of different model outputs
- Audit trail of how insights were derived
Knowledge Refinery: local-first semantic search & 3D concept visualization macOS app for corpus ingestion, semantic search, and concept universe visualization powered by local LLMs via LM Studio. Architecture: - Go daemon (17MB single binary, zero dependencies) - chi router, pure-Go SQLite, tiktoken tokenizer - 6-stage pipeline: scan → extract → chunk → embed → annotate → conceptualize - Brute-force cosine vector search in memory - 89 tests across 8 packages - SwiftUI app (macOS 15+) - Multi-workspace management with auto-start daemons - Live pipeline progress, search, concept browser - WebGPU 3D universe renderer with Canvas2D fallback - Custom crystal app icon 2026-02-13 17:09:46 +00:00			`# Canonical Data Model`

			`See [../../docs/data-model.md](../../docs/data-model.md) for the full data model documentation.`

			`## Pipeline Version Tracking`

			`Every derived artifact stores:`
			- `pipeline_version` - Overall pipeline version (e.g., "v1.0")
			- `model_id` - LM Studio model used (for annotations/concepts)
			- `prompt_id` + `prompt_version` - Prompt template version (for annotations)

			`This enables:`
			`- Re-running with updated models/prompts without losing previous results`
			`- A/B comparison of different model outputs`
			`- Audit trail of how insights were derived`