# please check semantic search is working ## Retrieval Notes - Session id: `a42467b5-6963-4806-b8cd-049dbd6ab324` - Last activity: `2026-01-28T18:37:25.148Z` ## My Notes <!-- Add your notes here. This section is preserved across syncs. --> ## Conversation ### User please check semantic search is working ### Assistant **Skill Evaluation:** 1. smart-note - NO (not creating notes) 2. google-tasks-sync - NO (not about tasks) 3. calendar-query - NO (not about calendar) 4. gmail-search - NO (not about email) 5. **semantic-search - YES** (testing this exact functionality) 6. research-query - NO 7. paper-support - NO 8-10. Reference files - NO (not needed for this test) Let me run a test semantic search query: ### User ? ### Assistant Hmm, that threw an error. Let me try a few more queries to diagnose whether this is a persistent issue: ### Assistant **Result: Partial functionality** | Function | Status | Notes | |----------|--------|-------| | `find_related` | ✅ Working | Found related daily notes with similarity scores | | `semantic_search` | ❌ Error | "only length-1 arrays can be converted to Python scalars" | | `get_context_blocks` | ❌ Error | Same error | **Diagnosis:** The `find_related` function works (it uses pre-computed file embeddings), but query-based searches fail. This suggests the Smart Connections MCP server is having trouble generating embeddings for new query strings—likely an issue with the embedding model configuration or a version mismatch. **Possible fixes:** 1. Restart the Smart Connections MCP server 2. Check if the embedding model in Smart Connections settings is properly configured 3. Re-index the vault in Obsidian (Smart Connections → Force Refresh) 4. Check the Smart Connections plugin is up to date Want me to check if there's a way to restart the MCP server, or would you prefer to troubleshoot in Obsidian directly? *Il problema sembra risiedere nella generazione degli embedding per le query, non negli indici già calcolati.*