Knowledge that powers intelligence

Go beyond document storage. Weeki's Knowledge Base captures the definitions, rules, strategies and hypotheses that give meaning to your data — then uses them to power AI agents and automations with deep organizational context.

Knowledge Base Illustration

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The Knowledge Base is a structured, markdown-based layer of contextual intelligence that sits between raw documents and AI operations. It contains definitions, hypotheses, business rules, strategies, and prompt contexts — reusable blocks that agents and automations consume to produce grounded, relevant outputs. It's your organization's institutional memory, codified and actionable.

Knowledge Base visualization

How It Works

From tacit knowledge to structured, reusable intelligence.

1

Capture & structure

Extract definitions, rules, and strategies from documents or expert input. Organize them into multi-section knowledge bases with clear hierarchies.

2

Connect & contextualize

Link knowledge entries to ontology entities, map zones, and documents. Create prompt contexts that agents can consume for grounded responses.

3

Activate & evolve

Agents and automations pull KB context dynamically. As your organization learns, the KB evolves — validated hypotheses become rules, strategies get refined.

What You Get

Cost Reduction

Stop reinventing the wheel. Codified business rules and definitions are reusable across teams, projects, and AI interactions.

Speed Improvement

New team members ramp up faster with structured institutional knowledge. AI agents produce better outputs with rich prompt context.

Quality & Risk

Ensure consistency across decisions by grounding AI outputs in validated business rules and strategies. Track hypothesis validation over time.

Ready to transform your data into value?

Have questions?

Find Your Answers Here

How is this different from a wiki?
Can I import existing documentation?
How do agents use the Knowledge Base?
Who can edit the Knowledge Base?