Relevan.dev

Hot take for spooky season: "AI Search" for most companies means "we added embeddings" Embeddings don't learn from clicks. They don't test ranking changes. They don't get better next week. Same label. Different machine. 🎃

So we asked Jev if you should use Relevan for agentic search and the answer was 🔥 Being real though we tested out Jev to see if it could replace some parts of our relevance engine and were pleasantly surprised. It managed to be 100% accurate with our eval set.

Relevan is officially live! The beta is capped so you may get added to the wait list as you login. We are slowly letting people onto the platform. If you're interested in becoming a design partner we still have a few slots open so reach out! Join at relevan.dev

Each company has different data, users and goals. Most platforms give everyone the same tools. Relevan is building an individual relevance loop for our customers. We measure quality, learn signals, test, and tune to your use case. Beta tomorrow: relevan.dev

Agent-first search isn’t a chatbot bolted onto an old console. Relevan uses LLM-driven onboarding. Bring any agent, point it to our LLMs.txt, OpenAPI spec, and per-index skills, then let it configure, ingest, and search. Beta opens Wednesday: relevan.dev

Relevan wouldn’t exist without open source. We’re built on @OpenSearchProj and @valkey_io—but open source shouldn’t be a one-way transaction. We're excited to contribute code, knowledge, and improvements back. Join the beta @ relevan.dev

Agents break the old “query then click” feedback loop. They branch, refine, and use results without clicking. We’re working on that problem in the open through @o19s UBI standard: github.com/o19s/ubi/issues/4…