Find matches by meaning across your documents.
What it does
Finds semantically related documents and routes queries to a small set of patterns.
When to use it
Use for corpus search, memory-constrained vector search, string comparison, hierarchical data, routing among up to eleven patterns, or cross-namespace search.
How to use it
Give it a search query; it returns semantic search results using the appropriate vector-search path.
What you provide
- a search query
Uses
RU
Latest review
What you need · 1
Requires the Ruflo MCP server exposing the embedding and memory-search tools used by the standard workflow.
Access · 4
This skill
embedding corpus
Read
Searches the embedding corpus
memory namespaces
Read
Searches across memory namespaces
RaBitQ index
Write
Builds a quantized search index