hiivmind-corpus-navigate

Searching multiple documentation corpora uses semantic routing and keyword matching to resolve the correct registry. It fetches relevant API references and guides, rendering content with citations while surfacing related documentation suggestions.

Semantic search for cross-corpus documentation routing works by loading a valid corpus registry and matching your query against embedded corpora. It optionally traverses cross-corpus bridges to fetch broader, relevant API references with source citations.

When a documentation query encounters missing registries or empty results, the routing operation handles it gracefully. It manages the missing state and returns a clean response without crashing the cross-corpus navigation flow.

Yes, you can retrieve guides and API references from registered corpora using natural language. The routing mechanism interprets your query semantically, discovers embedded corpora, and fetches matching documentation content directly.

Yes, navigating documentation across corpora requires a loaded corpus registry. The routing tool validates the registry first to discover embedded corpora, then uses semantic similarity to fetch and render the correct API references and guides.

The best way to find related documentation suggestions after a corpus search is to let the semantic router fetch and render the initial content. It automatically surfaces related documentation suggestions alongside the cited API references.