RAG & Knowledge AI: Answers from your data, not the internet
Build AI that answers questions using your internal documents, policies, and knowledge bases - accurate, sourced, and up to date.
Key Features
Knowledge Connection
Connect AI to your internal documents, policies, and knowledge bases
Source Citations
Grounded answers traceable to the original document
Real-Time Updates
Keeps up as your documents change, no retraining needed
Access Control
Users only see answers from documents they're authorized to access
Technologies We Use
What is RAG & Knowledge AI?
Retrieval-Augmented Generation connects an LLM to your internal data - documents, policies, SOPs, knowledge bases. Instead of generating answers from training data, the AI retrieves relevant information from your sources and generates grounded, accurate responses with citations. It knows what it knows, and tells you when it doesn't.
Benefits
Make your AI feel native to your business: faster, more accurate, and a true competitive advantage from day one.
Employees find answers in seconds instead of searching across systems
Consistent, accurate responses based on your approved documents
Institutional knowledge preserved and accessible even as teams change
Why It Matters
Your organization's most valuable knowledge is locked in documents, wikis, and SharePoint folders that nobody reads. RAG makes that knowledge instantly accessible - employees ask questions in plain language and get accurate answers backed by your actual documents, not AI guesses. No more searching five systems to find one answer.
What You Get
How We Deliver
We start by auditing your document landscape - what you have, where it lives, who needs access. Then we ingest your documents, build the vector index, and configure the retrieval pipeline for accuracy and speed. We test against real questions your team asks and refine until the answers are consistently accurate. Production deployment includes monitoring, feedback loops, and automatic document sync so the system stays current.
Our Process
Assess
1–2 weeksAudit your document landscape, identify high-value knowledge sources, define access rules.
Build
4–6 weeksIngest documents, build vector index, configure retrieval pipeline, test accuracy.
Deploy
2–3 weeksLaunch with monitoring, feedback loops, and automatic document sync.
Use Cases
Policy Q&A for Members
Members and agents get instant, accurate answers about coverage, benefits, and claims procedures.
Clinical Protocol Lookup
Clinicians query treatment protocols, drug interactions, and care guidelines in natural language.
Compliance Reference
Compliance teams instantly find relevant regulations and internal policies during audits.
Frequently Asked Questions
Common questions about RAG & Knowledge AI.
PDFs, Word, HTML, Confluence, SharePoint, Google Docs, and most structured/unstructured formats.
Automatic re-ingestion pipelines keep the knowledge base current as documents change.
The system tells the user it doesn't have enough information rather than guessing - no hallucinated answers.
Yes. Everything runs in your private environment. Documents never leave your infrastructure.
See how RAG works with your data
Private AI that works with your existing systems and delivers transparent, compliant automation. Tell us where you're stuck - we'll show you what's possible.