Knowledge Base Guide
Knowledge Base enables you to store, organize, and retrieve documents for RAG (Retrieval-Augmented Generation), allowing AI agents to answer questions based on your specific documents.
π― Overviewβ
What is Knowledge Base?β
Knowledge Base is a document storage and retrieval system that enables RAG. It allows AI agents to search through your documents and provide answers grounded in your specific content.
Core Benefitsβ
| Benefit | Description |
|---|---|
| Grounded Responses | AI answers based on your documents |
| Source Citations | Every answer includes references to source documents |
| Smart Chunking | Automatic document splitting optimized for retrieval |
| Flexible Retrieval | Vector, keyword, or hybrid search modes |
π Creating Knowledge Basesβ
Step 1: Navigate to Knowledge Baseβ
- Log in to Wegent
- Navigate to Knowledge Base section in the sidebar
- Click Create Knowledge Base
Step 2: Choose Knowledge Base Typeβ
| Type | Document Limit | Chat Support | Best For |
|---|---|---|---|
| Notebook | 50 documents | β Yes | Interactive research, Q&A sessions |
| Classic | Unlimited | β No | Large document collections, archives |
See Knowledge Base Types for detailed comparison.
Step 3: Configure Basic Settingsβ
| Field | Description | Example |
|---|---|---|
| Name | Display name (1-100 chars) | "Product Documentation" |
| Description | Optional description (max 500 chars) | "Internal product docs and guides" |
Step 4: Configure Retrieval Settingsβ
| Setting | Options | Description |
|---|---|---|
| Retrieval Mode | Vector / Keyword / Hybrid | Search method |
| top_k | 1-10 (default: 5) | Number of results |
| score_threshold | 0.0-1.0 (default: 0.5) | Minimum relevance score |
Step 5: Upload Documentsβ
- Click Add Document
- Choose source type (File / Text / URL / External Table)
- Configure chunking settings (optional)
- Click Upload
π Document Managementβ
Supported Sourcesβ
| Source | Description |
|---|---|
| File Upload | Upload from local computer |
| Text Paste | Paste text content directly |
| External Table | Import from DingTalk/Feishu |
| Web Scraping | Scrape content from URL |
Supported Formatsβ
.txt- Plain text files.md- Markdown files.pdf- PDF documents.doc,.docx- Word documents
See Document Management for detailed guide.
πͺ Chunking Strategiesβ
Available Strategiesβ
| Strategy | Best For | Description |
|---|---|---|
| Smart Chunking | General documents | Auto-detect structure |
| Sentence-based | FAQ, Q&A content | Split by sentence boundaries |
| Semantic | Long articles | Split by semantic similarity |
Key Parametersβ
| Parameter | Range | Default | Description |
|---|---|---|---|
| chunk_size | 128-8192 | 500 | Characters per chunk |
| chunk_overlap | 0-2048 | 50 | Overlapping characters |
See Chunking Strategies for detailed guide.
π Retrieval Testβ
For smaller knowledge bases, the system may also use an all-chunks direct injection path to load the full chunk set into the model. This exists mainly to compensate for cases where vector retrieval recall is not stable enough.
See Retrieval And Direct Injection for the design rationale and permission model.
Before saving retrieval configuration, you can test the retrieval effectiveness.
How to Useβ
- Go to Knowledge Base Retrieval Settings
- Configure retrieval parameters
- Enter a test query in the Retrieval Test area
- Click Test button
- Review returned chunks and relevance scores
- Adjust parameters based on results
- Click Save when satisfied
π Summary Featuresβ
Document Summariesβ
When enabled, the system automatically generates summaries for each document:
- Document is uploaded and indexed
- Summary model processes content
- Summary stored with document metadata
- Available for quick reference
Knowledge Base Summaryβ
Generate an aggregate summary of the entire Knowledge Base:
- Navigate to Knowledge Base settings
- Click Generate Summary
- View combined summary of all documents
Manually Editing Knowledge Base Summaryβ
Knowledge base summaries can be edited manually to correct AI-generated content, add missing context, or rewrite the summary in a form that better fits team usage.
- Manual summary takes priority in UI display
- Manual summary takes priority when injected into knowledge-base chat context
- AI summary generation continues running in the background
- Use Restore AI Summary to switch back to the latest AI-generated summary
Notes:
- The current version only supports manual editing of the knowledge base long summary
- Document summaries are still generated automatically
- If Auto Generate Summary is disabled, new AI summaries stop updating, but saved manual summary content can still be displayed
Summary Retryβ
If summary generation fails:
- Find the document with failed summary
- Click Retry Summary button
- System will attempt to regenerate
π€ Integration with Agentsβ
Selecting Knowledge Base in Chatβ
- Click the context selector near the chat input
- Select Knowledge Base from options
- Choose your desired Knowledge Base
- Send your question
Notebook Mode Chatβ
In Notebook mode, you can chat directly within the Knowledge Base:
- Open a Notebook-type Knowledge Base
- Use the chat panel on the right
- Select specific documents for context (optional)
- Ask questions about your documents
π Citations and Referencesβ
Citation Formatβ
AI responses include numbered citations linking to source documents:
Based on your product documentation [1], the feature works by...
Additionally, the troubleshooting guide [2] suggests...
Sources:
[1] product-overview.pdf (Section 3)
[2] troubleshooting-guide.md (Chunk 15)
Viewing Source Contentβ
- Click on a citation number in the response
- View the original chunk content
- See surrounding context
- Navigate to full document if needed
π Permission Managementβ
Knowledge bases support fine-grained access control through the Share Service architecture. You can manage members, assign roles, and authorize external entities (e.g., groups) to access your knowledge bases.
Member Rolesβ
| Role | Permissions |
|---|---|
| Owner | Full control, can transfer ownership and manage all members |
| Maintainer | Can manage documents, settings, and invite members |
| Developer | Can read and contribute documents |
| Reporter | Read-only access |
Managing Membersβ
- Open a knowledge base and click Permission Management
- Under the Personal tab, invite users by username or email
- Assign a role from the dropdown (Owner, Maintainer, Developer, Reporter)
- Click Add to send the invitation
Entity-Level Authorizationβ
In addition to individual users, you can authorize entire groups or namespaces:
- Switch to the Group tab in the permission dialog
- Search for a group or namespace
- Select the desired group and assign a role
- All members of that group inherit the assigned permissions
Note: Entity-authorized knowledge bases appear in the members' Shared with Me section rather than under the group's native knowledge bases.
Permission Source Visualizationβ
When viewing members, the system displays how each member gained access:
- Direct β Added directly as a member
- Entity β Access granted through a group or namespace
- Link β Access obtained via a share link
Role Conflict Resolutionβ
When a user has multiple access paths to the same knowledge base (e.g., direct membership and group membership), the system automatically resolves conflicts by selecting the highest-privilege role.
Ownership Transferβ
Owners can transfer ownership to another member:
- In Permission Management, locate the target member
- Click Transfer Ownership next to their name
- Confirm the transfer in the dialog
The previous owner is downgraded to Maintainer, and the new owner gains full control.
β Troubleshootingβ
Upload Issuesβ
| Problem | Solution |
|---|---|
| File upload fails | Check file size (max 50MB) and format |
| Document stuck in "Processing" | Wait for large documents or re-upload |
Retrieval Issuesβ
| Problem | Solution |
|---|---|
| No results returned | Lower score_threshold or try different query |
| Irrelevant results | Reduce chunk_size or try hybrid mode |
π‘ Best Practicesβ
Document Organizationβ
| Practice | Description |
|---|---|
| Meaningful names | Use descriptive document names |
| Consistent format | Standardize document formatting |
| Regular updates | Re-index when documents change |
| Clean content | Remove irrelevant headers/footers |
Retrieval Tuningβ
| Scenario | Mode | top_k | threshold |
|---|---|---|---|
| Precise answers | Vector | 3-5 | 0.8 |
| Broad search | Hybrid | 8-10 | 0.6 |
| Exact matching | Keyword | 5 | 0.7 |
π Related Resourcesβ
- Knowledge Base Types - Notebook vs Classic comparison
- Document Management - Adding and managing documents
- Chunking Strategies - Document chunking options
- Configuring Retrievers - Retrieval configuration
- Permission Management - Member roles and access control