Intelligent FAQ Automation
Your FAQ Page Is Dead.
Long Live Semantic Search.
Last updated
Replace static FAQ pages with a RAG-powered AI that retrieves accurate, cited answers from your entire knowledge base — in any language, in under 2 seconds.
- Replaces a static FAQ page with RAG-powered search that answers from your whole knowledge base and cites its sources.
- It matches meaning, not keywords, so differently phrased questions still find the right answer.
- New documents are indexed on upload, updated pages are re-embedded daily, and unanswered questions are flagged for review.
- It works in 50+ languages.
- It can be trained on your business in as little as 1 week.
Semantic Knowledge Retrieval
Fewer Support Tickets
Answer Retrieval Time
Answer Accuracy
Languages Supported
How does a RAG-powered FAQ compare to a traditional FAQ page?
Static FAQ pages break the moment a customer phrases their question differently than what you wrote. RAG-powered search understands intent, retrieves from your full knowledge base, and generates accurate answers — even for questions you never anticipated.
How does semantic FAQ search work?
Questions go through a RAG pipeline that retrieves, ranks, and generates grounded answers with citations.
User Question
Any phrasing, any language
Embed & Search
Vector similarity across knowledge
Rank & Retrieve
Top matches scored & filtered
Generate Answer
Grounded, cited, natural language
Knowledge Sources Connected via MCP
Vector Store
Pinecone / Qdrant / Weaviate
Docs & Wikis
Notion, Confluence, Google Docs
Website Content
Blog posts, help center, PDFs
Support History
Past tickets & resolutions
Beyond Static Answers
How does it understand questions phrased differently?
Traditional FAQs require exact keyword matches. If someone asks "how do I cancel?" and your FAQ says "subscription termination," it fails. Our semantic search understands meaning — matching intent, synonyms, and context across your entire knowledge base regardless of how the question is phrased.
Understanding Intent
Customer asks:
"How do I stop being charged?"
Retrieves from:
"Subscription Cancellation & Billing Policy"
Auto-Learning Pipeline
- ●New docs auto-indexed on upload
- ●Updated pages re-embedded daily
- ●Unanswered Qs flagged for review
- ●Accuracy improves with feedback loops
- ●Knowledge gaps surfaced automatically
How does the knowledge stay up to date?
Connect your knowledge sources via MCP, and the system keeps itself current. New documentation gets automatically embedded. Updated pages are re-indexed. Unanswered questions get flagged for content creation. Your FAQ intelligence grows with your business — without manual maintenance.
Can customers see where an answer came from?
Every answer comes with transparent source citations — linking back to the exact document, page, or article the information came from. No hallucinations, no guesswork. Users can verify any claim instantly, building trust while reducing follow-up questions.
Example Cited Response
Your subscription can be cancelled at any time from your Account Settings. Refunds are available within 30 days of billing.
Sources:
1. Billing Policy — Section 4.2
2. Refund SOP — Last updated Feb 2026
"If your customers have to search through a list of 200 FAQs to find their answer, you've already lost them. Give them an AI that understands what they're actually asking."
Frequently asked questions
Kill Your FAQ Page. Deploy Intelligence.Deploy AI Intelligence
A RAG-powered FAQ system trained on your business in as little as 1 week. Your customers get instant, accurate answers. Your team stops repeating themselves.
