knowledge

You can search your project knowledge base using keywords through FTS5 indexing and optional vector embeddings, which enables efficient hybrid retrieval of Markdown documentation and notes.

Yes, you can ingest external web content into your workspace documentation by providing URLs, which the skill organizes into your project knowledge base as Markdown files.

Hybrid search for retrieving information from Markdown files works by combining FTS5 keyword indexing with optional vector embeddings to locate relevant documentation within your project knowledge base efficiently.

The best way to organize specific knowledge topics for specialized querying is converting them into dedicated skills, enabling focused retrieval and learning within your project knowledge base.

No, you do not need vector embeddings to search your workspace knowledge base; the skill utilizes FTS5 keyword-based retrieval by default, with vector embeddings serving as an optional enhancement for hybrid search.

Converting knowledge topics into dedicated skills instead of keeping them as notes enables specialized querying and structured retrieval, allowing the system to apply focused search logic to specific information domains.