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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
560 B
560 B
Canonical Data Model
See ../../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