Knowledge Base Agent
Retrieval and grounding specialist
Indexes your documents and answers questions with grounded, quoted passages, refusing to answer when the source is missing.
A sample-data demonstration workflow is available. Live execution needs more configuration.
What this agent is for
Give staff a single answer surface over internal documents where every answer shows the passage it came from.
Capabilities
- Document indexing and chunking
- Grounded question answering with quotes
- Refusal when coverage is insufficient
- Coverage and gap reporting
- Answer feedback capture
Inputs it needs from you
- Document library
- Access scope
- User question
Outputs it produces
- Grounded answer with quoted passages
- Source list
- Coverage gap report
Industries
- Professional services
- Healthcare
- Government
- Technology
- Education
- Energy
How This AI Agent Works
The published process for this agent: what triggers it, what it validates, which approved tools it calls, where a human approves and what it delivers.
Knowledge retrieval workflow
From an ingested corpus to grounded, cited answers with coverage reporting.
Saved with the run so the recorded execution trail shows what was asked. Demonstration runs use sample data. They do not touch your systems.
Public visitors can preview the structure and inspect every node. Labelled demonstrations and live runs require a signed-in account with configured providers.
Workflow summary as a text list
- 1. Ingest documents: Input. Approved documents added to the workspace corpus.
- 2. Validate and de-duplicate: Validation. Check formats, versions and duplicate content.
- 3. Index content: Approved tool. Chunk and embed the corpus for retrieval.
- 4. Answer with citations: AI agent. Answer only from retrieved passages and cite each one.
- 5. Coverage check: Decision. Say clearly when the corpus does not answer the question.
- 6. Cited answer and coverage report: Output. Answer, sources and gaps in the corpus.
Approval gate: none configured. Deliverable: Report.
Workflow audit for this page
| Template ID | Nodes | Approval node | Output type | Preview | Demo | Live | Mobile test |
|---|---|---|---|---|---|---|---|
| knowledge-base-agent | 6 | No | Report | Available | Available (signed in) | Available via Studio · requires ai_provider | Verified at 390px |
Demonstration runs are stored and replayed from recorded events. Live runs execute server-side in the Studio and only start when the listed integrations report healthy.
Ask this agent team a question
Ask the live agents
Describe the problem in your own words. We classify the industry, assign specialist agents, and you watch the workflow run and produce the visual deliverables — maps, dashboards, charts, tables and reports — instead of one block of text.
Demo mode uses clearly labelled sample data — never presented as verified.
Assigned specialists
Industry detected from your wording
- Requirement validation agent
- Analysis agent
- Quality and citation reviewer
Deliverables planned
Workflow the run follows
- 1. User request
- 2. Requirement validation
- 3. Industry classification
- 4. Specialist agent selection
- 5. Data and file collection
- 6. Tool authorisation
- 7. Execution plan
- 8. Multi-agent collaboration
- 9. Analysis or generation
- 10. Quality validation
- 11. Human approval
- 12. Visual deliverables
- 13. Monitoring and audit
Ready to scope your AI initiative?
Share your objective and constraints. A specialist reviews every request before any recommendation is issued.