How do I build a knowledge base for AI?

Start with: existing documentation, FAQs, support tickets (anonymised), product information. Structure content logically, add metadata, chunk appropriately for retrieval, and establish update processes.

How much content do I need?

Quality matters more than quantity. Start with content covering your most common use cases. Even a well-curated set of 50-100 documents can power an effective AI assistant. Expand based on gaps.

How do I keep the knowledge base current?

Establish update triggers: product changes, policy updates, new FAQs from support. Automate where possible (sync from source systems). Schedule regular reviews. Monitor for outdated content.

What format should knowledge base content be in?

Most RAG systems can ingest: plain text, PDF, Word, HTML, Markdown. Plain text or Markdown is cleanest. Complex layouts and tables may need preprocessing. Check your RAG system's document loaders.

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Knowledge Base

A structured repository of information that AI systems can query. In RAG systems, this typically contains company documents, FAQs, and domain-specific content.

In-Depth Explanation

A knowledge base is an organised collection of information that AI systems use to provide accurate, grounded responses. It serves as the source of truth for RAG systems and AI assistants.

Knowledge base components:

Documents: PDFs, Word files, web pages
FAQs: Common questions and answers
Product information: Specs, pricing, availability
Policies: Procedures, guidelines, terms
Historical data: Past interactions, resolutions

Knowledge base organisation:

Collections: Logical groupings of related content
Metadata: Tags, categories, dates, sources
Relationships: Links between related items
Versions: Historical content tracking
Access controls: Who can see what

Maintenance requirements:

Regular content updates
Accuracy verification
Gap identification
Performance monitoring
User feedback integration

Business Context

A well-organised knowledge base is the foundation of effective AI assistants. Quality of your knowledge base directly determines AI answer quality.

How Clever Ops Uses This

We help Australian businesses build and maintain knowledge bases that power accurate AI assistants. Good knowledge management is essential for AI success.

Example Use Case

"A knowledge base containing product manuals, pricing, and policies enables a support chatbot to give accurate, helpful answers."

Frequently Asked Questions

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What is RAG (Retrieval Augmented Generation)?

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Know Your Customer (KYC)Knowledge Graph