The problem
Your organization has years of accumulated knowledge. It's spread across Confluence, SharePoint, network drives, email threads, Slack channels, and individual hard drives. Finding the right information means knowing where to look — and often, who to ask.
Knowledge workers spend an estimated 20% of their time searching for information. That's a full day every week lost to hunting through folders and asking colleagues. And when people can't find information, they recreate it — or worse, make decisions without it.
Traditional search doesn't help. Keyword search requires you to guess the exact words used in the document. Different people use different terminology. And most search tools can't look across all your systems at once.
The solution
Knowledge Search uses AI to understand the meaning behind your questions. It searches across all your documentation and returns relevant answers — even when the wording doesn't match exactly.
Key capabilities:
- Semantic understanding: Find documents by concept, not just keywords
- Cross-system search: One search box for all your knowledge sources
- Contextual answers: Get direct answers with source citations
- Conversation memory: Ask follow-up questions naturally
- Permission-aware: Results respect your existing access controls
How semantic search works
Traditional keyword search looks for exact matches. If you search for "vacation policy," it finds documents containing those exact words. If the policy uses "time off" or "PTO," you might miss it.
Semantic search understands that these terms mean the same thing. The AI creates a mathematical representation of meaning — for your query and for your documents. It finds the closest matches based on meaning, not spelling.
This means you can:
- Search using natural language questions
- Find information even with imprecise terminology
- Discover related documents you didn't know existed
- Get answers in your language from documents in other languages
What we can index
- Knowledge bases: Confluence, Notion, SharePoint wikis
- File storage: SharePoint, Google Drive, OneDrive, network shares
- Communication: Slack, Microsoft Teams (with appropriate permissions)
- Databases: SQL databases, data warehouses
- Applications: CRM, ERP, ITSM systems via APIs
- Custom sources: Any system with accessible data
Document formats: PDF, Word, Excel, PowerPoint, HTML, Markdown, plain text, images with text (via OCR).
Expected results
- 80% faster time to find information
- Reduced duplication of effort and content
- Faster onboarding for new employees
- Better decisions based on complete information
- Knowledge preservation even as people leave
- Higher satisfaction from employees who can actually find what they need
Implementation approach
We start with a Strategy Sprint to inventory your knowledge sources, understand how people search today, and design the right architecture. Then we build a pilot indexing your most critical sources.
A typical pilot includes:
- Integration with 2-3 primary knowledge sources
- Search interface (web app or embedded in existing tools)
- Permission integration with your identity provider
- Analytics dashboard showing search patterns and gaps
After validating with pilot users, we expand to additional sources and add features like conversational Q&A and proactive recommendations.
Frequently asked questions
What's the difference between semantic search and keyword search?
Keyword search finds exact matches. Semantic search understands meaning. If you search for "vacation policy", semantic search also finds documents about "time off", "PTO", or "leave of absence" — even if those exact words aren't in your query.
What document sources can be indexed?
We can index Confluence, SharePoint, Google Drive, Notion, OneDrive, network file shares, databases, and more. The system handles PDFs, Word documents, presentations, spreadsheets, and even Slack or Teams messages.
How is access control handled?
Search results respect your existing permissions. If a user can't access a document in SharePoint, they won't see it in search results. We integrate with your identity provider (Azure AD, Okta, etc.) for seamless authentication.
How does it stay current with new content?
The system continuously monitors your document sources for changes. New documents are indexed within minutes. Updates to existing documents are reflected quickly. You can also trigger manual re-indexing if needed.
Ready to unlock your organization's knowledge?
Let's discuss how semantic search could transform information access in your organization.
Get in touch