RAG-powered conversations backed by your knowledge base. Every answer cites its source — no hallucinations, no guessing.
Conversations
Under the hood
Retrieval-Augmented Generation keeps AI answers accurate by grounding them in your actual documents.
Your question is converted to a vector embedding using the same model that indexed your KB.
The nearest matching chunks are retrieved from your knowledge base using cosine similarity.
The top chunks are bundled with your question into a prompt with full source attribution.
The LLM synthesises a precise answer from the retrieved context — not from training data alone.
Features
Every answer links back to the exact source it came from, so your team can trust it at a glance.
Learn moreFollow-up questions just work — the assistant remembers the context of the conversation.
Learn morePoint each conversation at the right knowledge so answers stay on-topic and relevant.
Learn moreAnswers appear as they are written, so people never stare at a spinner waiting.
Learn moreNot locked to one provider — choose the AI model that fits your needs and budget.
Learn moreThe same knowledge powers your helpdesk, so agents answer with one consistent voice.
Learn moreBook a personalised demo — we'll walk you through it.