Commit Graph

2 Commits

Author SHA1 Message Date
Chris Coutinho 5cc598e1b1 docs: refactor semantic search from notes-specific to multi-app architecture
Update ADRs to reflect that vector database and semantic search support
multiple Nextcloud apps (notes, calendar, deck, files, contacts) rather
than being notes-specific. Introduce semantic:read/write OAuth scopes
to replace app-specific scope requirements for cross-app search.

Changes:
- ADR-007: Add plugin architecture (DocumentScanner, DocumentProcessor,
  DocumentVerifier) for multi-app vector sync
- ADR-008: Rename tools from nc_notes_semantic_* to nc_semantic_*, update
  scope from notes:read to semantic:read
- ADR-009: NEW - Document decision to use generic semantic:read scope
  with dual-phase authorization instead of requiring all app scopes
- oauth-architecture.md: Add semantic:read/write scope documentation
- README.md: Move semantic search to dedicated section separate from Notes

This is a breaking change that correctly positions semantic search as a
cross-app capability before broader adoption. Existing deployments will
need to re-authenticate with the new semantic:read scope.

Relates to user request to decouple vector database from notes-only model
and establish proper OAuth scope boundaries for multi-app semantic search.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-09 04:47:20 +01:00
Chris Coutinho bb5d4f464f feat: implement MCP sampling for semantic search RAG (ADR-008)
Add nc_notes_semantic_search_answer tool that combines semantic search
with MCP sampling to generate natural language answers from retrieved
Nextcloud Notes. This enables Retrieval-Augmented Generation (RAG)
patterns without requiring a server-side LLM.

Key features:
- Client-side LLM generation via ctx.session.create_message()
- Graceful fallback when sampling unavailable
- Proper source citations in generated answers
- No results optimization (skips sampling when no docs found)
- Comprehensive unit and integration tests

Implementation details:
- SamplingSearchResponse model with generated_answer and sources
- Fixed prompt template with document context and citation instructions
- Model preferences hint Claude Sonnet for balanced performance
- Falls back to returning documents without answer on sampling failure

Updates:
- Add ADR-008 documenting sampling architecture decision
- Add MCP sampling pattern guidance to CLAUDE.md
- Update README.md and docs/notes.md (7 → 9 tools)
- Add 4 unit tests and 6 integration tests

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-09 01:00:18 +01:00