Classer vs docs.dev

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search...

Point your coding agent at your repo and your docs; it opens a docs branch, your team reviews on the rendered page, publishing is a commit. Runs on your Cloudflare, no...

About Classer

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search infrastructure in days. Run the full pipeline or drop any one stage behind your existing stack. Route on what you extract: a part number sends the query straight to exact lexical lookup. Retrieve by meaning, not vocabulary, a query and a product can match with no words in common. Let retrieval cast a wide net, then put 27 billion parameters on reading the catch, ranking for purchase intent, not textual similarity.

About docs.dev

Point your coding agent at your repo and your docs; it opens a docs branch, your team reviews on the rendered page, publishing is a commit. Runs on your Cloudflare, no platform fee, no metered AI. Reviews, branches, and rollbacks come free, because it is just git. Your content in their database, and an export button you hope works when you leave. Writing AI is the agent you already have; reader-facing AI runs on your Workers AI.