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# Knowledge Base Indexing $ARGUMENTS Reindex the knowledge base for semantic search. > **Prerequisite**: This command requires a vector store (e.g., Qdrant) and an indexing pipeline configured for your project. If not configured, this command provides guidance on setup. ## Usage ``` /index # Incremental index (detect changes) /index --full # Full rebuild ``` ## Execution ### Direct Execution ```bash # Incremental index (auto-detects changes) make index # Full rebuild make index-full ``` ### Docker Execution ```bash docker exec {app-container} make index docker exec {app-container} make index-full ``` ## Change Detection The indexer uses content hashing to detect changes: | Scenario | Action | |----------|--------| | New document | Index | | Changed content | Reindex | | No changes | Skip | | Deleted document | Remove from index | ## Frontmatter Validation Before indexing, ensure all KB documents have valid frontmatter: ```yaml --- title: "Document Title" service: {service-name} category: reference|howto|procedures|troubleshooting|decisions|best-practices tags: [tag1, tag2] last_updated: "YYYY-MM-DD" --- ``` ## Troubleshooting | Problem | Solution | |---------|----------| | Index not updating | Check file timestamps, run full rebuild | | Missing documents | Verify frontmatter is valid | | Slow indexing | Check embedding service performance | | No vector store | Set up Qdrant or compatible vector DB | ## Rules - **MUST** require explicit us...