Ask a question out loud or type it in. Rasepi pulls the answer directly from your documentation, with links to the exact pages where it comes from. Voice or keyboard—the choice is yours. And since Rasepi tracks updates, the AI only uses content it can actually trust.
Most AI search tools readily provide a confident answer based on a document that hasn’t been updated in two years. You get an answer. You just can’t tell if it’s still correct.
A dialogue-oriented interface—voice or text—on your knowledge base, with timeliness as the primary signal.
Say “What is our remote work policy?” out loud or type “How do I set up the staging environment?” In both cases, no special syntax is required. Just a natural question.
The AI searches all documents in your workspace (taking permissions into account). It filters by recency score so that outdated or expired content doesn’t skew the results.
The response includes a clear statement as well as links to each source document. Each source displays its recency score, so you can see at a glance how trustworthy the information is.
If the best available answer comes from a document with a low trust score, you’ll see a warning. The AI is honest about this: “This is the best match I found, but the source was last checked 6 months ago.”
The problem with most RAG (Retrieval-Augmented Generation) setups is that they treat all documents equally. A 2021 policy and a runbook updated yesterday carry the same weight.
Rasepi changes that. Since every document already has a trust score, the AI has something most systems lack: a built-in signal for how much each source can be trusted. A document with a score of 95 is weighted more heavily than one with a score of 30. Simple, but it changes everything.
That’s the advantage of having timeliness built into the platform from day one. It isn’t an afterthought. It’s the foundation that makes every other feature more reliable.
Trust scores don’t just track time. They respond to real-world changes. When a dependency releases a new version or an API is deprecated, Rasepi flags the affected documents and tells your AI tools exactly why the score has changed. Learn how trust scoring works →
Ask questions that span multiple hubs. The AI searches your entire workspace, not just a single silo.
The AI only displays content you have access to. Private hub documents do not appear in responses for people who shouldn’t see them.
Just like with translation, the AI backend will be modular. Use OpenAI, Anthropic, or a self-hosted model. Your choice, your API key.
Ask in German, get a response from English documents (and vice versa). The AI can search all language versions of your content.
Ask your documentation anything—speak or type it. The freshness rating ensures that the AI only uses content that has been verified and is still up to date.
Rasepi is in private beta. We’re inviting teams in waves.