Knowledge
The Knowledge Base contains your organization's documentation, indexed for AI-assisted search. When you interact with Hublvu, the AI automatically references relevant knowledge to provide contextual, accurate responses.
Why Knowledge Matters
The AI assistant is more effective when it has access to your organization's specific information:
- Contextual answers — Responses informed by your procedures and systems
- Accurate guidance — References your actual documentation, not generic advice
- Institutional memory — Captures expertise that would otherwise be lost
Knowledge Types
Institutional Knowledge
Operational documentation created by your organization:
- Runbooks — Standard operating procedures
- Playbooks — Incident response procedures
- Architecture docs — System design and topology
- Troubleshooting guides — Known issues and resolutions
- Process documentation — How things work internally
Product Files
External documentation from vendors and products:
- Product manuals — Vendor documentation
- Technical specifications — API docs, configuration references
- Release notes — Version-specific information
- Best practices — Vendor recommendations
Uploading Knowledge
Accessing Knowledge Management
Administrators can access Knowledge Management:
- Expand the Knowledge section in the sidebar
- Click Institutional Knowledge or Product Knowledge
Uploading Files
- Click Upload
- Select files from your computer
- Add metadata (optional but recommended):
- Title
- Description
- Labels/tags
- Click Upload
Supported Formats
| Format | Extensions |
|---|---|
| Documents | PDF, DOCX, DOC |
| Spreadsheets | XLSX, CSV |
| Text | TXT, MD |
Processing
After upload, files go through processing:
- Parsing — Content extracted from file
- Chunking — Content split into searchable segments
- Embedding — Semantic indexing for AI search
- Indexing — Made available for queries
Processing status is visible in the file list. Large files may take several minutes.
Managing Knowledge
Viewing Files
The knowledge list shows:
- File name
- Upload date
- Processing status
- Source/category
- Labels
File Details
Click a file to see:
- Full metadata
- Processing status
- Content preview
- Usage statistics
Organizing with Labels
Labels help categorize knowledge:
- Create labels that match your organization (by team, system, topic)
- Apply labels when uploading or editing
- Filter by label when browsing
Updating Content
To update a document:
- Upload the new version
- The system processes it as new content
- Optionally remove the old version
Removing Knowledge
Delete files no longer needed:
- Select files to remove
- Click Delete
- Confirm deletion
Deleted files are removed from AI search immediately.
Product Files
Product files include additional metadata extraction:
Automatic Metadata
When you upload product documentation, the AI extracts:
- Company/Vendor — Who produced the document
- Product — What product it covers
- Version — What version it applies to
- Summary — Brief content overview
Filtering
Use extracted metadata to filter:
- By vendor
- By product
- By version
This helps find relevant documentation quickly.
Auto-Refresh
For knowledge sources that update regularly:
Configuring Auto-Refresh
- Open file details
- Enable Auto-Refresh
- Set refresh interval
- Provide source URL (if applicable)
The system re-fetches and re-processes content on schedule.
How AI Uses Knowledge
In Chat
When you ask questions, the AI:
- Searches relevant knowledge
- Retrieves matching content
- Uses it to inform the response
- May cite sources
Example:
- You ask: "What's our procedure for database failover?"
- AI searches knowledge for "database failover procedure"
- Finds your runbook
- Provides answer based on your documentation
In Flows
Flows can reference knowledge:
- Triage steps may search for relevant documentation
- Remediation steps may reference procedures
- The AI uses knowledge to make better decisions
In Guides
Guide creation can pull from knowledge:
- AI generates steps based on existing procedures
- References relevant documentation
- Ensures consistency with established practices
Searching Knowledge
From Chat
Simply ask:
- "Find documentation about authentication"
- "What do we have on the payment system?"
- "Search for Kubernetes deployment procedures"
Direct Search
In the Knowledge section:
- Use the search bar
- Enter keywords or phrases
- Review results
- Click to open full documents
Semantic Search
Hublvu uses semantic search, meaning:
- It understands meaning, not just keywords
- "Database connection issues" finds content about "DB connectivity problems"
- More flexible than exact keyword matching
Best Practices
Outdated documentation leads to outdated AI responses. Update or remove stale content.
Clear file names help both humans and AI find the right content.
A consistent labeling scheme makes knowledge easier to organize and find.
The more context in a document, the better the AI can use it. Avoid uploading fragments.
When the AI references your knowledge, verify it's using current information. This helps identify outdated content.
Troubleshooting
File Not Appearing
If an uploaded file isn't available:
- Check processing status (may still be processing)
- Verify file format is supported
- Check for processing errors
Poor Search Results
If search isn't finding relevant content:
- Try different search terms
- Check if the content has been uploaded
- Verify processing completed successfully
AI Not Using Knowledge
If the AI doesn't reference your documentation:
- Ensure relevant content exists
- Try more specific questions
- Verify the knowledge is processed and indexed