Ask anything. Get answers from your own docs, with sources.
Nife RAG Chatbot connects to your internal documentation — wikis, runbooks, product specs, policies — and gives your team a conversational assistant that answers from your own knowledge base. No hallucinations. No generic model outputs. Just answers grounded in what your company actually knows.
What it does
Connects to your internal docs — wikis, runbooks, Confluence, Notion, PDFs, and more.
Answers are grounded in your actual content, not generic model knowledge.
Cite sources with every answer so teams can verify and trust the output.
Deploy as a team-facing assistant, customer support bot, or embedded product feature.
How teams use
Engineering documentation assistant
Engineers ask questions about internal architecture, APIs, and runbooks and get sourced answers instantly — no more digging through Confluence.
Customer support knowledge base
Support teams get an assistant that answers from your product documentation, FAQs, and resolved tickets — reducing escalation time significantly.
HR and onboarding assistant
New hires get instant answers to policy, process, and tool questions from a chatbot trained on your internal docs and handbooks.
Sales and pre-sales enablement
Sales teams ask about pricing, feature availability, and competitive positioning and get accurate answers sourced from your latest decks and docs.
Pricing
Nife RAG Chatbot is available on an enterprise contact-led model. Pricing depends on knowledge-base size, deployment topology, and support scope.
Contact sales
Pricing depends on knowledge-base size, integrations, deployment model, and support scope.
How it fits in the Nife platform
Talks to your internal documentation
Unlike generic AI assistants, Nife RAG Chatbot is specifically designed to ingest and reason over your company's own knowledge sources.
Pairs with LLM Labs for model routing
RAG Chatbot uses the Nife LLM Labs layer for model routing — swap the underlying LLM without touching your assistant logic or document pipeline.
Complements AI SRE for ops teams
Engineering teams run RAG Chatbot alongside AI SRE — the chatbot answers knowledge questions from docs while AI SRE handles live incident signals.
Ready to see how undefined fits your team?
Talk to the Nife team to map the right deployment model, rollout scope, and supporting components.
Questions? We’ve got answers.
Frequently Asked Questions - We got you covered!
The product is positioned around answers grounded in your own documentation, with source citations so teams can verify responses instead of relying on generic model output.
The page highlights internal documentation sources such as wikis, runbooks, product specifications, policies, PDFs, Confluence, and Notion-style knowledge bases.
The page presents it for engineering, support, HR, onboarding, sales, and pre-sales teams that need fast answers from internal knowledge.
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