Gleanor Puts Operators Back Behind the Ranking Knobs

Why it surfaced

Gleanor’s distinctive proposition is operational: people draft and publish ranking profiles in Studio, while production pins the same version. Search, cited RAG windows, and recommendations then draw from one index—explicitly retrieval infrastructure, not an autonomous agent.

A search, RAG, and recommendations API that combines keyword matches, embeddings, recency, and field weights around one shared corpus.