Search knowledge fragments by tags with graph traversal. Returns raw fragment contents.

Use this when you know the exact tags and need full, unabridged content for a specific domain. Prefer search_rag over this for answering questions (it summarizes automatically). Prefer search_semantic over this for exploring what the knowledge base covers.

Semantic search across knowledge fragments using embeddings. Supports natural language queries in any language.

Use this for exploring what the knowledge base covers or when you need raw fragment content with similarity scores. Prefer search_rag over this for answering user questions (it automatically summarizes lower-confidence results).

Semantic search with automatic summarization. High-confidence results are returned verbatim; lower-confidence and related documents are synthesized into a query-aware summary via LLM sampling.

Use this when answering user questions — it delivers concise, ready-to-use answers. Prefer search_semantic over this when exploring what the knowledge base covers. Prefer search_knowledge over this when you need full unabridged content for specific tags.

Create a new knowledge fragment file with proper frontmatter.

Update an existing knowledge fragment's content, tags, or related links.

Delete a knowledge fragment permanently.

List all available knowledge tags with fragment counts.

Validate all knowledge fragments for broken refs and related links.

List all loaded knowledge sources with their aliases, paths, and fragment counts.

Re-discover knowledge sources from config. Use after modifying ~/.knowledgebased.json.