Knowledge Base
A knowledge base is an organized collection of information, typically help articles, FAQs, guides, and documentation, that enables customers to find answers independently. In modern support, knowledge bases also serve as the training data for AI chatbots.
How it works
A knowledge base serves two purposes in 2026:
1. **Self-service**: Customers browse and search articles to find answers without contacting support. A well-organized KB with good search can deflect 20-30% of potential tickets.
2. **AI training data**: The knowledge base content powers RAG-based AI chatbots. Articles are processed, chunked, and embedded so the AI can search and reference them when answering questions. Better KB content directly results in better AI answers.
Knowledge base software typically includes a content editor, category organization, search, custom domains, and analytics on article performance.
Operational Review
In practice, knowledge base should be evaluated by what it changes in the support workflow. Ask whether it improves answer accuracy, reduces repeated agent work, clarifies handoff decisions, or makes reporting easier. If the answer is only "it sounds modern," the concept is not yet operational.
A concrete example is public help center for saas product: A SaaS company publishes 150 help articles organized by category (Getting Started, Billing, Integrations). Customers search and browse articles directly, deflecting 25% of potential tickets. The same content powers their AI chatbot for an additional 50% deflection.
The simplest takeaway is: A knowledge base serves dual purposes: customer self-service and AI chatbot training data
Why it matters
How Chatsy uses knowledge base
Real-world examples
Key takeaways
Frequently asked questions
How many articles does a knowledge base need?
Start with 20-30 articles covering your most common support questions. Even a small KB can deflect 20-30% of tickets and significantly improve AI chatbot accuracy. Quality matters more than quantity.
Should my knowledge base be public or private?
Public for customer-facing support (help center). Private for internal documentation (IT helpdesk, employee handbook). Chatsy supports both, public KB with optional custom domain, and workspace-level access for internal content.
How should I structure knowledge base articles for AI chatbots?
Write short, focused articles (300-800 words) covering one topic each. Use clear headings, bullet points, and direct language. Avoid jargon and walls of text. Structure articles as questions and answers when possible, this format maps naturally to how customers ask questions.
Can I import existing documentation into a knowledge base?
Most platforms support importing from various sources. Chatsy allows importing content from URLs, files, and documents. You can also use the API to programmatically sync content from external documentation systems like Confluence or Notion.