“BeeRad”andClaude Sonnet 4.5
be675be4e0
Adds full guide system to MCP standalone server. System guides (schema, creating-nodes, edges, dimensions, extract) are bundled and immutable. Users can create up to 10 custom guides via rah_write_guide. Syncs guide infrastructure from main repo to OS repo app code. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
93 lines
2.8 KiB
Markdown
93 lines
2.8 KiB
Markdown
---
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name: Schema
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description: Full database schema, tables, columns, query patterns.
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immutable: true
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---
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# Database Schema
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## Tables
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### nodes
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| Column | Type | Notes |
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|--------|------|-------|
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| id | INTEGER | Primary key, auto-increment |
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| title | TEXT | Required |
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| description | TEXT | AI-generated grounding context (~1 sentence) |
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| content | TEXT | User's notes/thoughts (not source content) |
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| chunk | TEXT | Full verbatim source content |
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| chunk_status | TEXT | 'pending', 'chunked', 'failed' |
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| link | TEXT | External URL (only for nodes representing external content) |
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| type | TEXT | Nullable (reserved for future use) |
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| metadata | TEXT | JSON blob (map_position, transcript_length, etc.) |
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| is_pinned | INTEGER | Legacy — use hub node queries instead |
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| created_at | TEXT | ISO timestamp |
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| updated_at | TEXT | ISO timestamp |
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### edges
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| Column | Type | Notes |
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|--------|------|-------|
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| id | INTEGER | Primary key |
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| from_node_id | INTEGER | FK → nodes.id |
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| to_node_id | INTEGER | FK → nodes.id |
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| context | TEXT | JSON: `{ explanation, category, type, confidence, created_via }` |
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| source | TEXT | 'user', 'ai_similarity', or helper name |
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| explanation | TEXT | Human-readable reason for connection |
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| created_at | TEXT | ISO timestamp |
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### dimensions
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| Column | Type | Notes |
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|--------|------|-------|
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| id | INTEGER | Primary key |
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| name | TEXT | Unique, case-insensitive |
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| description | TEXT | Purpose description |
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| is_locked | INTEGER | 1 = priority dimension (auto-assigns to new nodes) |
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### node_dimensions (junction)
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| Column | Type |
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|--------|------|
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| node_id | INTEGER FK → nodes.id |
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| dimension_id | INTEGER FK → dimensions.id |
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### chunks (for semantic search)
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| Column | Type | Notes |
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|--------|------|-------|
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| id | INTEGER | Primary key |
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| node_id | INTEGER | FK → nodes.id |
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| chunk_index | INTEGER | Position in sequence |
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| text | TEXT | Chunk content |
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| embedding | BLOB | Vector (via sqlite-vec) |
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### FTS Tables
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- `chunks_fts` — full-text search on chunk text
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- `nodes_fts` — full-text search on node title + content
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## Common Query Patterns
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**Top connected nodes (hubs):**
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```sql
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SELECT n.id, n.title, n.description, COUNT(DISTINCT e.id) AS edge_count
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FROM nodes n
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LEFT JOIN edges e ON (e.from_node_id = n.id OR e.to_node_id = n.id)
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GROUP BY n.id ORDER BY edge_count DESC LIMIT 5
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```
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**Nodes in a dimension:**
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```sql
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SELECT n.* FROM nodes n
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JOIN node_dimensions nd ON n.id = nd.node_id
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JOIN dimensions d ON nd.dimension_id = d.id
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WHERE d.name = ?
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```
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**Edges for a node (both directions):**
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```sql
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SELECT e.*, n1.title as from_title, n2.title as to_title
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FROM edges e
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JOIN nodes n1 ON e.from_node_id = n1.id
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JOIN nodes n2 ON e.to_node_id = n2.id
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WHERE e.from_node_id = ? OR e.to_node_id = ?
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```
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**Use sqliteQuery for any read operation not covered by structured tools.**
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