Service and maintenance01
Service company knowledge base
AI search across policies, manuals and previously resolved requests.
Outcome
Employees find instructions in one interface and can verify the source behind every answer.
AI-powered company knowledge base
Company knowledgeworks with your team
We organize policies, manuals and company experience in a managed knowledge base. AI finds precise answers, cites sources and helps perform the next action in a work system.
Sources in every answerRole-based accessWorkflow integration
Knowledge architecture
One source, multiple work channels
Policies
Manuals
Resolved requests
Primary database
Source of truth
Vector index
AI answer
Every answer cites source materials and respects employee access rights.
When company knowledge stops scaling
A knowledge base is needed when finding an answer takes longer than doing the work.
Policies and manuals are spread across folders
Employees repeat the same questions to experienced colleagues
New specialists take too long to become productive
Call center agents search for answers during conversations
Documents change while the team uses outdated versions
There is no way to verify the source behind an answer
How the knowledge base works
Primary data remains in a conventional database and file storage. The vector database accelerates semantic search without replacing the source of truth.
Primary database
Documents, records, versions, authors and permissions.
Data preparation
Cleaning, chunking and metadata enrichment.
Vector database
A search index for semantically relevant fragments.
AI and RAG
Answers generated only from retrieved context.
Work channel
Call center, CRM, portal, bot or internal system.
Where the knowledge base creates value
One knowledge layer supports different roles and company workflows.
Call center
Live agent guidance, suggested responses and links to policies.
Employee onboarding
Answers about processes, products, roles and internal rules.
Customer support
First-line answers and escalation of complex requests.
Sales assistant
Product terms, specifications and arguments for each request.
Internal tasks
Create requests, update CRM and start approvals from a conversation.
Policy control
Check actions and documents against current requirements.
Trusted answers
Every answer can be verified
The system should never present a guess as company policy. Answers use authorized sources and include evidence.
Link to the document and exact fragment
Version date and content owner
No answer when evidence is insufficient
Access separated by department and role
How do I return equipment?
3 sources found
Create a request in the service portal and attach the transfer form...
Return policy, version 4.2
Knowledge updates without rebuilding the system
An editor updates a record or document in the primary database. The system validates the change and refreshes only the related vector fragments.
01
Add
The document receives an owner, category and access rules.
02
Review
The owner confirms content quality and relevance.
03
Index
Text is split into fragments and converted into vectors.
04
Use
AI retrieves context and answers with source links.
05
Update
A new version replaces outdated index fragments.
Integrations
Bring knowledge into the workflow
Employees do not need a separate chat or manual copying. The knowledge base works inside existing interfaces and can trigger permitted actions.
CRMCall centerCompany portalTelegramHelpdesk1СAPIMCP
Answer and context
Work action
Permission check before retrieval
Approval for sensitive actions
Query and source audit log
Applied workflows
Knowledge workflow cases
Document search, support automation and knowledge connected to actions.
Document workflows02
MCP for Document Flow
Contract processing automation
Outcome
2 hours → 5 minutes, 97% accuracy
Customer support03
Support Automation
Claude API integration
Outcome
x3 tickets, +18% CSAT
Start with your materials
Test answer quality with your documents
Attach several anonymized manuals or policies and sample employee questions. We will show how the system retrieves context, answers and cites its source.
You can attach PDF, Word, spreadsheets and text files.
Frequently asked questions
Why use a primary database if there is a vector database?
The primary database stores source data, versions, owners and permissions. The vector database contains a derived search index that can be rebuilt from the primary source.
How is the knowledge base updated?
A change is reviewed before the system reindexes affected fragments. New answers use the current published version.
What happens when the documents do not contain an answer?
The system reports insufficient evidence and can route the question to an owner. It should never invent company policy.
Can access be restricted for individual documents?
Yes. Permissions are checked before retrieval, so employees do not receive fragments from materials they cannot access.
Can AI perform tasks in addition to answering?
Yes. Through APIs or MCP it can prepare a CRM record, create a request or start an approval. Sensitive actions can require employee confirmation.