Search that learns from use

Search that gets better every time an agent uses it.

Relevan indexes your documents, products, and profiles, and learns from every retry your agents make.

Evaluating Relevan for a large team? Talk to sales about dedicated capacity and an SLA.

Live comparison

Regular search vs. Relevan

This is your catalog, indexed in Relevan, and both agents start from the same query. One keeps broadening it and finishes at three searches and 22 results; the other reads what matched, drops what did not, and finishes at two searches and 6 results.

noise-cancelling headphones for travel

Run the search to compare regular search with the Relevan Protocol.

This walkthrough is scripted against a fixed product catalog, so it plays the same way every time. Every query, score, and protocol response is replayed from the real search engine, and a test fails if any of them drifts. Create an index in the console to run it against your own data.

The learning loop

Every search teaches the next one.

Relevan sees the whole session on its own: every query an agent sends, and every refinement it makes when the first attempt misses. You report the click, agent judgment, or conversion to our feedback endpoint

Formed relationships
hover nodes
pathoutcomeSearch: "headphones travel"Search: "headphones travel"Click: Sony WH-1000XM5Click: Sony WH-1000XM5traveltravelnoise cancellingnoise cancellingover-earover-earANCANC
Relevan reads the search path on its own; you report the click. Together they teach it what “travel” means in this catalog.

What you can search

Load the data your agents keep guessing about.

Product catalogs

Every item, attribute, and variant your agents must find and compare.

Documentation

Guides, references, and release notes your support agents answer from.

Recruiting profiles

People, skills, and experience, matched on what a role actually needs.

Support content

Tickets, macros, and help articles behind an agent that resolves them.

Internal knowledge

The documents your company holds, searchable without a new pipeline.

Fewer searches. Better answers. Relevance that improves.

Fewer searches per answer

Agents recover on the second try instead of the fifth.

Lower token spend

Stop burning tokens on arbitrary query rewrites.

Better answers

Give agents the right evidence before they respond.

Relevance that improves

Every search your agents run makes the next one land closer.

Index your data. Let your agents teach it.

Relevan is a search API for teams building agentic search, internal knowledge agents, and AI product experiences. Load your data and see where retrieval breaks today.

  • Create an index in the console
  • Load your documents through the ingest API
  • Search the index from your agent
  • Report what the result led to with one call