How do you stop an AI assistant from making things up?+
We ground every answer in your own content using retrieval (RAG) with citations, and add guardrails so the assistant says when it does not know instead of inventing an answer.
What is retrieval-augmented generation (RAG) and why does it matter?+
RAG retrieves the most relevant passages from your own documents at query time and gives them to the model as context, so answers are based on your trusted knowledge with sources — dramatically reducing hallucination compared with a generic chatbot.
Can an AI assistant respect our user permissions?+
Yes — access controls ensure each user only gets answers drawn from content they are allowed to see, so the assistant never leaks restricted information.
What data sources can the AI assistant connect to?+
Docs, wikis, PDFs, support tickets, intranets, and databases — most internal knowledge can be connected and kept fresh with automatic re-indexing as content changes.
How much does a custom AI assistant or knowledge chatbot cost?+
It depends on the number and complexity of sources, access-control needs, expected query volume, and integrations. We scope a pilot on your highest-value content first, then expand once it proves useful.
