Enterprise search people can trust
Ask questions across connected systems and receive grounded answers with citations, context, and source-aware reasoning.
AI Knowledge Agents
AI Agents for Enterprise Knowledge
Ask questions across your wikis, tickets, and repositories, analyze dense documents, and turn institutional knowledge into structured learning — all grounded in private RAG.
3Agents for search, documents, and learning
RAGGrounded answers over private knowledge
OCRDense documents and scanned files supported
PrivateEnterprise knowledge remains inside your perimeter
Enterprise controls
Private RAG over approved sourcesRole-based access to indexed contentCitations for reviewable answersOn-premise deployment for regulated and IP-sensitive knowledge
Category overview
Knowledge agents for organizations with too much information and too little access
VDF knowledge agents make internal information usable across wikis, ticketing systems, documents, repositories, policies, and training material. They are built for teams that need grounded answers, document understanding, and learning support without uploading sensitive knowledge to a hosted assistant.
Document analysis for complex work
Extract issues, summarize obligations, compare versions, and convert long documents into structured knowledge your teams can use.
Learning that reflects your organization
Create study paths, onboarding support, and knowledge checks based on your own policies, products, and procedures.
Knowledge Agents
Explore the knowledge agents catalog
Each agent has its own SEO page with use cases, governance notes, expected outputs, FAQs, and related tools.
Tier 1
AI Document Analysis Agent
Read, summarize, and extract answers from any enterprise document.
Explore agent Tier 1AI Enterprise Search Assistant
One assistant that answers across your wikis, tickets, and repos.
Explore agent Tier 2AI Learning Assistant
A personalized tutor that builds learning paths and reinforces them.
Explore agent Operating model
A private knowledge workflow from source to answer
Knowledge agents become more accurate when the system controls source selection, access rights, retrieval, answer generation, and citation. VDF is designed around that full loop.
Connect governed sources
Index wikis, tickets, repositories, PDFs, policy documents, and knowledge bases according to role-based access.
Retrieve the right context
Use private RAG and source filtering so the agent answers from relevant, permitted material instead of broad model memory.
Analyze and structure
Summarize documents, extract obligations, compare material, and turn scattered knowledge into useful outputs.
Return cited answers
Provide answers, summaries, and learning content with source references that reviewers can inspect.
Governance & deployment
Knowledge access follows enterprise permissions
A knowledge agent is only safe if it respects who is allowed to see what. VDF connects retrieval, model choice, logging, and user access so private knowledge remains private.
Private RAG over approved sourcesRole-based access to indexed contentCitations for reviewable answersOn-premise deployment for regulated and IP-sensitive knowledge
FAQ
Questions about knowledge agents
What are AI knowledge agents?
AI knowledge agents search, analyze, and explain information across private enterprise sources such as wikis, documents, tickets, and repositories.
How is this different from ordinary enterprise search?
Traditional search returns documents. VDF knowledge agents retrieve relevant sources, reason over them, summarize the answer, and preserve citations for review.
Can knowledge agents respect permissions?
Yes. VDF is designed to connect knowledge access to role-based policy so users only receive answers from sources they are allowed to access.
Keep exploring
Related agent categories and resources
Put knowledge agents to work on your own infrastructure
See these agents applied to your operations — governed, on-premise, and orchestrated together.