## Your Task US-022

1. Read the full app PRD at `prd-main.md` (in the same directory as this file)
2. Read the PRD at `prd.json` (in the same directory as this file)
3. Read the progress log at `progress.txt` (check Codebase Patterns section first)
4. **DO YOUR JOB**
5. Update the PRD to set `passes: true` for the completed story
6. Append your progress to `progress.txt`

## Progress Report Format

APPEND to progress.txt (never replace, always append):
```
## [Date/Time] - [Story ID]
- What was implemented
- Files changed
- **Learnings for future iterations:**
  - Patterns discovered (e.g., "this codebase uses X for Y")
  - Gotchas encountered (e.g., "don't forget to update Z when changing W")
  - Useful context (e.g., "the evaluation panel is in component X")
---
```

## USER REQUEST
{
  "id": "US-022",
  "title": "LanceDB vector store setup and note embedding pipeline",
  "description": "As a developer, I need notes embedded into LanceDB so that semantic search across all project notes is possible.",
  "acceptanceCriteria": [
    "vectordb (LanceDB Node.js binding) installed and initialized in main process only; vector DB stored at app.getPath('userData')/vectors/",
    "After notes.create or notes.update, note content is embedded via the GitHub Copilot SDK embeddings endpoint and upserted in LanceDB with metadata: { noteId, projectId, content }",
    "On first app startup, a migration routine checks if the 'notes' LanceDB table exists; if not, embeds all existing SQLite notes and populates LanceDB",
    "Embedding errors are caught and logged to console (console.error) but do not reject the notes.update/create promise",
    "Typecheck passes"
  ],
  "priority": 22,
  "passes": false,
  "notes": ""
}